Multi-antenna transmission protocol for high doppler conditions
阅读说明:本技术 用于高多普勒条件的多天线传输协议 (Multi-antenna transmission protocol for high doppler conditions ) 是由 S·纳米 A·戈施 于 2018-04-25 设计创作,主要内容包括:响应于度量(例如,多普勒度量)超过阈值,网络节点设备可以促进传输消息,该消息指示用户装备使得能够接收具有预编码秩值1的传输信号。网络节点设备可以发送具有预编码秩值1的参考信号,并且可以从用户装备接收包括信道质量的指示符的反馈。可选地,响应于度量超过阈值,网络节点设备可以促进传输消息,该消息指示用户装备通过提供反馈来响应参考信号,该反馈包括具有值1的秩的第一指示符和信道质量的第二指示符。(The network node device may transmit a reference signal having a precoding rank value of 1 and may receive feedback from the user equipment including an indicator of channel quality, optionally, in response to the metric exceeding the threshold, the network node device may facilitate transmitting a message instructing the user equipment to respond to the reference signal by providing feedback including an th indicator having a rank of value 1 and a second indicator of channel quality.)
Network node apparatus of the kind , comprising:
a processor; and
a memory storing executable instructions that, when executed by the processor, facilitate performance of operations comprising:
determining a metric representing a received frequency of a signal determined to have been received by a user equipment and an offset of an actual frequency determined to have been used for transmission of the signal;
responsive to the metric being determined to exceed a threshold, facilitating transmission of a message to the user equipment, the message indicating that the user equipment enables reception of a transmission signal having a precoding rank value of 1, wherein a precoding rank value of 1 indicates simultaneous transmission of data comprising the same content from the network node device to the user equipment;
facilitating transmission of a reference signal specific to the user equipment and having a precoding rank value of 1 to the user equipment;
receiving feedback from the user equipment, the feedback comprising an indicator of channel quality applicable to a quality of a channel between the network node device and the user equipment;
determining a transmission scheduling parameter related to a transmission protocol for a further -step transmission from the network node device to the user equipment based on the indicator of channel quality, and
facilitating transmission of the transmission scheduling parameters to the user equipment.
2. The network node apparatus of claim 1, wherein the operations further comprise facilitating transmission of traffic data to the user equipment based on the transmission protocol.
3. The network node apparatus of claim 1, wherein determining the metric comprises obtaining speed measurements of the user equipment at a plurality of times, and wherein the metric comprises an average of the speed measurements.
4. The network node apparatus of claim 1, wherein determining the metric comprises determining a rate of change of a characteristic of an uplink channel from the user equipment to the network node apparatus.
5. The network node apparatus of claim 1, wherein determining the metric comprises determining a rate of change of channel quality information of a previous transmission from the network node apparatus to the user equipment, the previous transmission occurring prior to determining the metric.
6. The network node apparatus of claim 1, wherein the transmission scheduling parameters comprise modulation and coding parameters suitable for modulation and coding of a data stream for further steps of transmission from the network node apparatus to the user equipment.
7. The network node device of claim 1, wherein the indicator of channel quality comprises an th indicator of channel quality, and the message indicating the user equipment further comprises instructions to exclude from the feedback:
a second indicator representing a rank of a number of different data streams transmitted between the network node device and the user equipment, an
A third indicator of channel state information for selecting a precoding matrix for a further -step transmission from the network node device to the user equipment.
8, A network device, comprising:
a processor; and
a memory storing executable instructions that, when executed by the processor, facilitate performance of operations comprising:
determining a metric representing a deviation of a received frequency of a signal determined to have been received by the user equipment and an actual frequency determined to have been used for transmitting the signal;
in response to the metric being determined to exceed a threshold, facilitate transmission of a message to the user equipment, the message instructing the user equipment to respond to a reference signal by including channel state information feedback related to a transmission protocol of transmissions between the user equipment and the network device, the channel state information feedback comprising:
an th indicator having a rank of value 1, wherein the th indicator of rank represents a number of different data streams transmitted between the network device and the user equipment, an
A second indicator of channel quality applicable to the quality of a channel between the network device and the user equipment;
facilitating transmission of a reference signal to the user equipment;
receiving the channel state information feedback from the user equipment;
decoding the channel state information feedback to obtain a decoded channel state information feedback;
determining a transmission scheduling parameter related to the transmission protocol based on the decoded channel state information feedback; and
facilitating transmission of the transmission scheduling parameters to the user equipment.
9. The network device of claim 8, wherein the operations further comprise:
facilitating transmission of traffic data to the user equipment based on the transmission protocol.
10. The network device of claim 8, wherein determining the metric comprises obtaining speed measurements of the user equipment at different times, and wherein the metric comprises a mean or median of the speed measurements.
11. The network device of claim 8, wherein determining the metric comprises determining a rate of change of a characteristic of an uplink channel from the user equipment to the network device.
12. The network device of claim 8, wherein determining the metric comprises determining a rate of change of channel quality information for transmissions between the network device and the user equipment.
13. The network device of claim 8, wherein the transmission scheduling parameters comprise modulation and coding parameters suitable for modulation and coding of a data stream for transmission between the user equipment and the network device.
14. The network device of claim 8, wherein the message indicating the user equipment comprises an instruction to exclude from the channel state information feedback report a third indicator of channel state information used to select a precoding matrix for transmission between the network device and the user equipment.
Network node apparatus of the kind 15, , comprising:
a processor; and
a memory storing executable instructions that, when executed by the processor, facilitate performance of operations comprising:
determining a metric representing a received frequency of a signal determined to have been received by a user equipment and an offset of an actual frequency determined to have been used for transmission of the signal;
responsive to the metric being determined to exceed a threshold, facilitating transmission of a message to the user equipment, the message indicating that the user equipment enables reception of a transmission signal having a precoding rank value of 1, wherein a precoding rank value of 1 indicates simultaneous transmission of data comprising the same content from the network node device to the user equipment;
facilitating transmission of a reference signal specific to the user equipment and having a precoding rank value of 1 to the user equipment;
receiving feedback from the user equipment, the feedback comprising an indicator of channel quality determined by evaluating each reference signal, wherein the indicator of channel quality applies to the quality of a channel between the network node device and the user equipment;
selecting of indicators of channel quality based on the feedback to determine transmission scheduling parameters related to a transmission protocol for a further step transmission from the network node device to the user equipment, and
facilitating transmission of the transmission scheduling parameters to the user equipment.
16. The network node apparatus of claim 15, wherein the operations further comprise facilitating transmission of traffic data to the user equipment based on the transmission protocol.
17. The network node apparatus of claim 15, wherein determining the metric comprises obtaining speed measurements of the user equipment at a plurality of times, and wherein the metric comprises an average of the speed measurements.
18. The network node apparatus in claim 15, wherein determining the metric comprises determining a rate of change of a characteristic of an uplink channel from the user equipment to the network node apparatus.
19. The network node apparatus of claim 15, wherein determining the metric comprises determining a rate of change of channel quality information of previous transmissions from the network node apparatus to the user equipment, the previous transmissions occurring prior to determining the metric.
20. The network node apparatus in claim 15, wherein the message indicating the user equipment further comprises instructions to exclude from the feedback:
an th indicator representing a rank of a number of different data streams transmitted between the network node device and the user equipment, an
A second indicator of channel state information for selecting a precoding matrix for a further transmission from the network node device to the user equipment.
Technical Field
The present application relates generally to the field of mobile communications and more particularly to a multi-antenna transmission protocol for high doppler conditions.
Background
Since the introduction of analog cellular systems in the 1980 s, radio technology in cellular communications has evolved and evolved rapidly, with the (1G) from 1980 s onwards, the second (2G) from 1990 s, the third (3G) from 2000 s onwards, and the fourth (4G) from 2010 (including variants of LTE such as TD-LTE, AXGP, LTE-a, and TD-LTE-a, and other versions) traffic in cellular networks has experienced tremendous growth and expansion, and there is no indication that such growth will slow down.
Fifth generation (5G) access networks (which may also be referred to as New Radio (NR) access networks) are currently under development and are expected to handle the very -wide use cases and requirements, including mobile broadband (MBB) and machine type communications (e.g., involving IOT devices). for mobile broadband, 5G wireless communication networks are expected to meet the exponentially growing demand for data traffic and allow people and machines to enjoy near-zero-latency gigabit data rates.
The above background related to wireless networks is intended only to provide a contextual overview of some of the current problems, and is not intended to be exhaustive.
Drawings
Non-limiting and non-exhaustive embodiments of the subject disclosure are described with reference to the following figures, wherein like reference numerals refer to like parts throughout the various views unless otherwise specified.
Fig. 1 illustrates an example wireless communication system in which a network node device (e.g., network node) and a User Equipment (UE) may implement various aspects and embodiments of the subject disclosure.
Fig. 2 illustrates an -like structure of a 4G MIMO transmission protocol or scheme in accordance with various aspects and embodiments of the subject disclosure.
Fig. 3 illustrates an example of a concept of rank, showing a rank 1 transmitter versus a rank 4 transmitter.
Fig. 4 illustrates an example message sequence diagram between a network node device and a UE for a closed loop MIMO scheme in accordance with various aspects and embodiments of the subject disclosure.
Fig. 5 illustrates a graph showing spectral efficiency of a closed loop MIMO protocol as a function of doppler frequency in accordance with various aspects and embodiments of the subject disclosure.
Fig. 6 illustrates a diagram of an example embodiment of switching between a closed-loop MIMO protocol and a rank 1 precoder cycling protocol depending on doppler frequency in accordance with various aspects and embodiments of the subject disclosure.
Fig. 7 illustrates a graph of spectral efficiency for both a closed-loop MIMO protocol and a rank 1 precoder cycling protocol as a function of doppler frequency in accordance with various aspects and embodiments of the subject disclosure.
Fig. 8 illustrates a message sequence diagram between a network node and a UE for a rank 1 precoder cycling protocol in accordance with various aspects and embodiments of the subject disclosure.
Fig. 9 illustrates an example flow diagram having doppler metrics as decision criteria in accordance with various aspects and embodiments of the subject disclosure.
Fig. 10 illustrates a message sequence diagram between a network node and a UE involving the use of codebook subset restriction (CBSR) in accordance with various aspects and embodiments of the subject disclosure.
Fig. 11 illustrates another example flow diagrams having doppler metrics as decision criteria in accordance with various aspects and embodiments of the subject disclosure.
Fig. 12 illustrates operations relating to rank 1 precoder cycling that may be performed by a network node device in accordance with various aspects and embodiments of the subject disclosure.
Fig. 13 illustrates operations related to closed loop MIMO with CBSR that may be performed by a network node device in accordance with various aspects and embodiments of the subject disclosure.
Fig. 14 illustrates operations relating to rank-1 precoder cycling that may be performed by a UE in accordance with various aspects and embodiments of the subject disclosure.
Fig. 15 illustrates another sets of operations relating to rank 1 precoder cycling that may be performed by a network node device, in accordance with various aspects and embodiments of the subject disclosure.
Fig. 16 illustrates an example block diagram of example user equipment that may be a mobile handset (mobilehandset) in accordance with various aspects and embodiments of the subject disclosure.
Fig. 17 illustrates an example block diagram of a computer operable to perform processes and methods in accordance with various aspects and embodiments of the subject disclosure.
Detailed Description
The subject disclosure is now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout, the following description and the annexed drawings set forth in detail certain illustrative aspects of the subject matter, however, these aspects are indicative of only of the various ways in which the principles of the subject matter may be employed, other aspects, advantages and novel features of the disclosed subject matter will become apparent from the following detailed description when considered in conjunction with the provided drawings.
In this regard, example computer processing systems, computer-implemented methods, apparatuses, and computer program products are described herein whereby a network node device may change to a different transmission protocol in response to determining that a metric (e.g., a Doppler metric) exceeds a threshold.
FIG. 1 illustrates an example
In various embodiments, the
Still referring to fig. 1, the network node may have a cabinet and other protected enclosure, an antenna mast, and multiple antennas for performing various transmission operations (e.g., MIMO operations). A network node may serve several cells (also referred to as sectors) depending on the configuration and type of antenna. Examples of network nodes (e.g., network node 104) may include, but are not limited to: a NodeB device, a Base Station (BS) device, a mobile station, an Access Point (AP) device, and a Radio Access Network (RAN) device.
In an example embodiment, the UE102 may send and/or receive communication data to the
The
The
For example,
In various embodiments, the
To meet the demand for data-centric applications, the features of the proposed 5G network may include increased peak bit rates (e.g., 20Gbps), larger data volumes per unit area (e.g., high system spectral efficiency-e.g., on the order of 3.5 times the spectral efficiency of Long Term Evolution (LTE) systems), high capacity to allow simultaneous and instantaneous more device connections, lower battery/power consumption (which reduces energy consumption costs), better connectivity regardless of the geographic region in which the user is located, a higher number of devices, lower infrastructure development costs, and higher communication reliability.
Upcoming 5G access networks may utilize higher frequencies (e.g., >6GHz) to help increase capacity. Currently, most of the millimeter wave (mmWave) spectrum, i.e., the spectral band between 30 kilohertz (Ghz) and 300Ghz, is underutilized. Millimeter waves have shorter wavelengths ranging from 10 to 1 millimeter, and these mmWave signals experience severe path loss, penetration loss, and fading. However, shorter wavelengths at mmWave frequencies also allow more antennas to be packed in the same physical dimension, which allows large-scale spatial multiplexing and highly directional beamforming.
Multiple-input multiple-output (MIMO) technology, introduced in the third generation partnership project (3GPP) and already in use (including with LTE ), is multiple-antenna technology, which can improve the spectral efficiency of transmissions, thereby significantly improving the overall data carrying capacity of the wireless system.
Even if there are multiple antennas, a particular scheme may only use of them (e.g., transmission mode 1 of the LTE specification, which uses transmit antennas and receive antennas), or may use only antennas and have various different multiplexing, precoding methods, etc.
MIMO technology represents MIMO configuration according to the number of transmission antennas (M) and reception antennas (N) on end of a transmission system using well-known symbols (MxN) common MIMO configurations for various technologies are (2x1), (1x2), (2x2), (4x2), (8x2), and (2x4), (4x4), (8x4) — the configurations represented by (2x1) and (1x2) are special cases of MIMO, known as transmit diversity (or spatial diversity) and receive diversity.
Fig. 2 illustrates multi-antenna transmission for 8 antenna ports in a 4G system, a similar structure with more antenna ports is expected to be used for a 5G system generally, an antenna mapping can be described as a mapping from the output of a data modulation to different antenna ports, the input of the antenna mapping thus consists of modulation symbols (QPSK, 16QAM, 64QAM, 256QAM) corresponding to or two transport blocks more specifically, in addition to spatial multiplexing, there are transport blocks per Transmission Time Interval (TTI), in which case there can be at most two transport blocks per TTI, the output of the antenna mapping includes sets of symbols for each antenna port, the symbols for each antenna port are then applied to an OFDM modulator-i.e., mapped to the basic OFDM time-frequency grid corresponding to that antenna port.
Referring now to fig. 3, another concepts are concepts of rank of transmission in a multi-antenna technique, incoming data can be split into transmissions over multiple antennas, where each data stream processed and transmitted over an antenna is referred to as a transmission layer, the number of transmission layers is typically the number of transmit antennas, data can be split into several parallel streams, where each stream contains different information, in another type, incoming data is replicated and each antenna transmits the same information, the term spatial layer refers to a data stream that includes information not included by the other layers, the rank of transmission is equal to the number of space layers in LTE spatial multiplexing transmission, or in other words, equal to the number of different transmission layers transmitted in parallel, as shown in fig. 3, the
Fig. 4 illustrates a transactional diagram (e.g., timing diagram) related to such techniques involving closed-loop spatial multiplexing schemes using codebook-based precoding (where the closed-loop system does not require knowledge of the channel at the transmitter, while the closed-loop system requires channel knowledge at the transmitter provided by the UE's feedback channel.) briefly described, in which a reference signal (also referred to as a pilot signal or pilot) is first transmitted from a network node to the UE from which the UE can compute the parameters needed for channel estimation and Channel State Information (CSI) reporting.
Referring to fig. 4, a network node (e.g., network node 104) may transmit a Reference Signal (RS), which may be beamformed or non-beamformed, to a user equipment (e.g., UE102) at transaction (1) downlink reference signals are predefined signals occupying specific resource elements in a downlink time-frequency grid, regarding a profile or some type of mobile identifier of
In addition to these reference signals (CSI-RS, DM-RS), there are other reference signals, namely phase tracking reference signals, multicast broadcast single frequency network (MBSFN) signals and positioning reference signals for various purposes.
Still referring to fig. 4, after receiving the reference signal, at
In techniques using codebook-based precoding, the network node and the UE use different codebooks that can be found in standard specifications, each of which is related to a different type of MIMO matrix (e.g., a codebook of precoding matrices for 2x2 MIMO). the codebooks are known (contained) at the node and UE sites and may contain entries of precoding vectors and matrices that are multiplied with signals at the precoding phase of the network node.
Furthermore, the CSI feedback may also comprise an indicator of channel quality (e.g. Channel Quality Indicator (CQI) in LTE) indicating the channel quality of the channel between the network node and the user equipment for link adaptation on the network side. Depending on the values reported by the UE, the node transmits data with different transport block sizes. If a node receives a high CQI value from a UE, it transmits data with a larger transport block size and vice versa.
An indicator of rank (rank indicator (RI) in LTE terminology) may also be included in the CSI feedback, which provides an indication of the rank of the channel matrix, where rank is the number of different transmission data streams (layers) transmitted in parallel or simultaneously between the network node and the UE (in other words, the number of spatial layers) as discussed above, RI determines the format of the rest of the CSI report message as an example, in the case of LTE, when RI is reported as 1, a rank 1 codebook PMI will be transmitted along with CQIs , and when RI is 2, a rank 2 codebook PMI and two CQIs will be transmitted since RI determines the size of PMI and CQI, as an example, it is encoded separately so that the receiver can decode RI first, then use it to decode the rest of the CSI (including PMI and CQI as mentioned above, and other information) typically, the rank indication fed back to the network node may be used to select a transmission layer in downlink data transmission, e.g., even if the system is in the specification of LTE (or open loop spatial multiplexing) of a Rank Indicator (RI) and then reports to the network node that it may be a good SNR report to the network node as a downlink data transmission mode "when it is reported as a good SNR" a downlink data transmission node 52 "or a network node, which may be reported to the UE.
Still referring to fig. 4, after calculating the CSI feedback, the UE102 may transmit the CSI feedback at transaction (2) via a feedback channel, which may be a separate channel from the channel transmitting the reference signal. The network node may process the CSI feedback to determine transmission scheduling parameters (e.g., Downlink (DL) transmission scheduling parameters), including modulation and coding parameters suitable for modulating and coding signals by the UE 102-specific network node device.
As shown in
The
The performance of a closed loop MIMO system (e.g., the system described in fig. 4) may be reduced at high UE speeds (e.g., mobile devices moving at high speeds). The doppler effect is caused as a result of the high speed of movement of the UE, so that when the transmitter of the signal is moving relative to the receiver, a doppler shift occurs. This relative movement shifts the frequency of the signal so that the perception at the receiver is different from that at the transmitter. In other words, the frequency perceived by the receiver will be different from the frequency actually transmitted by the transmitter. When the signal-to-noise ratio (SNR) is high, the performance degradation is severe. If the rank of transmission is high, the SNR is also high. For high rank systems, the impact due to mismatch between transmitter and receiver channel quality is severe.
Fig. 5 illustrates a graph 500 showing a plot 505 of the spectral efficiency (shown in doppler frequency) of a closed loop MIMO system with 4 transmit and 4 receive antennas with a high SNR of 25dB for different UE speeds. Although plot 505 is for a system with 4 transmit antennas and 4 receive antennas, similar spectral efficiency and doppler frequency relationships apply for rank equal to NtxN of (A)txSystem of which NtxMay be 2, 4, 8, 16, and so on. It is observed from fig. 5 that as the speed of the UE increases, the throughput decreases due to outdated channel state information (e.g., doppler shift prevents UE measurements of accurate signals), such that the spectral efficiency decreases as the doppler frequency increases.
Example systems and methods are described that may improve the performance of a MIMO system (e.g., a 5G MIMO system) for high doppler conditions. The system and method involve identifying a UE speed and determining whether a doppler metric threshold has been met (or exceeded), and in response to determining that the doppler metric threshold has been exceeded, signaling the UE to change to a rank 1 precoder cycling protocol.
Fig. 6 shows a diagram 600 that provides an overview of example embodiments in example embodiments, a protocol for transmission may move back and forth between a closed
Fig. 7 shows a graph 700 depicting the spectral efficiency of a transmission using closed-loop MIMO versus the spectral efficiency of a rank 1 transmission (e.g., a rank 1 precoder cycling transmission as described herein). In addition to the graph 505 of spectral efficiency of a closed-loop MIMO system as a function of doppler frequency, fig. 7 also shows a second graph 705 of spectral efficiency of transmissions related to a rank 1 precoder cycle as a function of doppler frequency with wideband CQI. It can be observed from fig. 7 that the rank 1 precoder cycling performance varies little. Referring to fig. 7, at some doppler frequency threshold, rank 1 transmission may yield a higher spectral efficiency than that of transmission using closed loop MIMO with rank greater than 1. For example, according to the example graph shown in fig. 7, when the doppler frequency of the UE is above the threshold value by about 320, the network (e.g., network node 104) should configure the UE as a rank 1 precoder cycle.
Fig. 8 illustrates an example of a transaction graph 800 (e.g., a sequence diagram) in which a network node (e.g., network node 104) and a UE (e.g., UE102) enter a rank 1 precoder cycling state when a doppler metric exceeds a threshold, according to an example embodiment. Assume that the network node is receiving CSI (conventional) from a feedback channel (e.g., operating in a closed-loop
In other embodiments, the network node may use transmissions that are precoded at the Resource Element (RE) level (not the RB level). In such a protocol or scheme, the network node may indicate which precoders it is planning to use at the RE level. The precoder may be fixed in a standard (e.g., 5G standard) so that both the network and the UE know the precoder used at the RE level. The UE assumes that the network will use a predefined precoder to report CQI.
In other embodiments, the network node may be operable to transmit more than reference signals for evaluation by the UE, where each reference signal may be different at the RB level (or alternatively at the RE level). Thus, the CQI determined by the UE may be for different reference signals, and multiple CQIs may be reported as parts of the feedback.
Fig. 9 shows a flow diagram 900 depicting an example method that may be performed by a network node (e.g., network node 104). The flowchart may begin at
Still referring to fig. 9, a doppler threshold (e.g., D) may be setth) This is the point where the spectral efficiency drops below the level of spectral efficiency provided by rank 1 transmission due to the doppler effect (e.g., as shown in fig. 7). At
Fig. 10 illustrates a transaction diagram representing an example embodiment in which a closed-loop MIMO scheme is maintained, but limited in CSI feedback reporting by the UE, in response to determining that the doppler metric exceeds a threshold. The figure assumes a condition in which it has been determined that the doppler measure exceeds a threshold value. At transaction (1), the network node transmits a signal to the UE instructing the UE to report rank 1 in its CSI feedback. Here, the UE does not even need to know whether the network is to apply rank 1 precoder cycling. That is, there is no need to signal a transmission mode change from the network as in the example described in fig. 8. However, even if such rank 1 transmission to the UE is not explicitly indicated, the network still uses a closed loop MIMO scheme and informs the UE to select rank 1 in its feedback. This may be done by setting only those precoder indices that are equal to rank 1 using codebook subset restriction (CBSR), using Radio Resource Control (RRC) signaling or physical layer signaling. An indicator (e.g., not reporting PMI) may also indicate that the UE does not report channel state information. At transaction (2), the network node transmits a reference signal to the UE. The UE evaluates a reference signal at
Fig. 11 illustrates a flow diagram 1100, the flow diagram 1100 depicting an example method that may be performed by a network node (e.g., network node 104), wherein a closed-loop MIMO scheme with CBSR is used in response to a doppler metric exceeding a threshold (as shown in fig. 10). The flowchart may begin at
According to example embodiments, the network node and the user equipment may be operable to perform example methods as shown in the flowcharts described in fig. 12, 13, 14 and 15 in accordance with various aspects and embodiments of the subject disclosure.
In a non-limiting embodiment, as shown in diagram 1200 of FIG. 12, network node devices are provided that include a processor and a memory storing executable instructions that, when executed by the processor, facilitate performance of operations as shown at
The operations may further include, at
The operations can further include, at
The operations may further comprise receiving feedback from the user equipment at
At
Operations at
The operations may also include transmitting the traffic data to the user equipment based on a transmission protocol.
Determining the metric may include obtaining speed measurements of the user equipment at a plurality of times, and the metric may include an average of the speed measurements. Determining the metric may also include determining a rate of change of a characteristic of an uplink channel from the user equipment to the network node device. Determining the metric may further comprise determining a rate of change of channel quality information of previously transmitted channel quality information from the network node device to the user equipment, the previous transmission occurring prior to determining the metric.
The transmission scheduling parameters may comprise modulation and coding parameters suitable for modulation and coding of a data stream for further steps of transmission from the network node device to the user equipment.
The indicator of channel quality may comprise an th indicator of channel quality, and the message indicating the user equipment may further comprise a second indicator excluding from the feedback a rank representative of a number of different data streams transmitted between the network node device and the user equipment, and a third indicator of channel state information for selecting a precoding matrix for a further step transmission from the network node device to the user equipment.
In a non-limiting embodiment, as shown in diagram 1300 in fig. 13, a network node device is provided that includes a processor and a memory storing executable instructions that, when executed by the processor, facilitate performance of operations. The operations may include, at
At 1310, the operations may include, in response to determining that the metric exceeds the threshold, facilitating transmission of a message to the user equipment indicating a user equipment response reference signal by including channel state information feedback related to a transmission protocol of the transmission between the user equipment and the network device, the channel state information feedback including an th indicator having a rank of value 1, wherein the th indicator of the rank represents a number of different data streams transmitted between the network device and the user equipment, and a second indicator of channel quality applicable to a quality of a channel between the network device and the user equipment.
At
The operations may also include facilitating transmission of traffic data to the user equipment based on the transmission protocol.
Determining the metric may include obtaining speed measurements of the user equipment at different times, and the metric may include a mean or median of the speed measurements. Determining the metric may also include determining a rate of change of a characteristic of an uplink channel from the user equipment to the network device. Determining the metric may also include determining a rate of change of channel quality information of transmissions between the network device and the user equipment.
The transmission scheduling parameters may comprise modulation and coding parameters suitable for modulation and coding of a data stream for transmission between the user equipment and the network device.
The message indicating the user equipment may include an instruction to exclude from the channel state information feedback report a third indicator of channel state information for selecting a precoding matrix for a transmission between the network device and the user equipment.
In a non-limiting embodiment, as shown in diagram 1400 in fig. 14, user equipment includes a processor and a memory storing executable instructions that, when executed by the processor, facilitate performance of operations at
At
At
At
The transmission scheduling parameters may include modulation and coding parameters suitable for modulation and coding of a data stream for further steps of transmission from the network node device to the user equipment.
The indicator of channel quality may comprise an th indicator of channel quality, and the message indicating the user equipment may further comprise instructions to exclude from the feedback a second indicator representing a rank of a number of different data streams transmitted between the network node device and the user equipment, and to exclude from the feedback a third indicator of channel state information for selecting a precoding matrix for transmission between the network node device and the user equipment.
As mentioned above, the user equipment may include a wireless device and may also include an internet of things device.
In a non-limiting embodiment, as shown in fig. 15, network node devices are provided, the network node devices comprising a processor and a memory storing executable instructions that, when executed by the processor, facilitate performance of operations as shown at
The operations may further include, at
The operations can further include, at
The operations may further include, at
At
Operations at
The operations may also include facilitating transmission of traffic data to the user equipment based on the transmission protocol.
Determining the metric may include obtaining speed measurements of the user equipment at a plurality of times, and the metric may include an average of the speed measurements. Determining the metric may also include determining a rate of change of a characteristic of an uplink channel from the user equipment to the network node device. Determining the metric may further comprise determining a rate of change of channel quality information of previously transmitted channel quality information from the network node device to the user equipment, the previous transmission occurring prior to determining the metric.
The transmission scheduling parameters may comprise modulation and coding parameters suitable for modulation and coding of a data stream for further steps of transmission from the network node device to the user equipment.
The message indicating the user equipment may further comprise instructions to exclude from the feedback an th indicator representing a rank of a number of different data streams transmitted between the network node device and the user equipment and a second indicator of channel state information for selecting a precoding matrix for a further step transmission from the network node device to the user equipment.
Referring now to FIG. 16, there is illustrated a schematic block diagram of a user equipment (e.g., user equipment 102) that may be a
In addition, those skilled in the art will appreciate that the methods described herein may be practiced with other system configurations, including single-processor or multiprocessor systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which may be operatively coupled to or more associated devices.
Computing devices may typically include a variety of machine-readable media. Machine-readable media can be any available media that can be accessed by the computer and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer storage media may include volatile and/or nonvolatile, removable and/or non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data. Computer storage media may include, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM, Digital Video Disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
The
A video processing component 1622 (e.g., a camera) may be provided to decode the encoded multimedia content. The
Referring again to
As described above, the
With reference now to FIG. 17, there is illustrated a block diagram of a
Moreover, those skilled in the art will appreciate that the inventive methods can be practiced with other computer system configurations, including single-processor or multiprocessor computer systems, minicomputers, mainframe computers, as well as personal computers, hand-held computing devices, microprocessor-based or programmable consumer electronics, and the like, each of which can be operatively coupled to or more associated devices.
The illustrated inventive aspects may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Computing devices typically include a variety of media, which may include computer-readable storage media or communication media, which two terms are used differently from one another herein as follows.
By way of example, and not limitation, computer-readable storage media can be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data.
Communication media may embody computer readable instructions, data structures, program modules, or other structured or unstructured data in a data signal such as a modulated data signal (e.g., a carrier wave or other transport mechanism) and include any information delivery or transmission media.
With reference to FIG. 17, implementing various aspects described herein with respect to a device may include a
The
The
The drives and their associated computer-readable media provide nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For the
A number of program modules can be stored in the drives and
A user may enter commands and information into the
A
When used in a LAN networking environment, the
When used in a WAN networking environment, the
The computer is operable to communicate with any wireless devices or entities operatively disposed in wireless communication, e.g., a printer, scanner, desktop and/or portable computer, portable data assistant, communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This includes at least Wi-Fi and BluetoothTMThus, the communication may be a predefined structure as with conventional network or simply an ad hoc communication between at least two devices.
Wi-Fi, or Wireless Fidelity, allows connection to the Internet from a couch at home, a bed in a hotel room, or a conference room at work, without wires. Wi-Fi is a wireless technology similar to that used in cell phones, enabling such devices (e.g., computers) to be indoors and outdoors; data is transmitted and received anywhere within range of the base station. Wi-Fi networks use radio technologies called IEEE802.11 (a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5GHz radio bands, at an 11Mbps (802.11b) or 54Mbps (802.11a) data rate, for example, or with products that contain both bands (dual band), so the networks can provide real-world performance similar to the basic "10 BaseT" wired Ethernet networks used in many offices.
As used in this application, the terms "system," "component," "interface," and the like are generally intended to refer to a computer-related entity, or entity associated with an operating machine having or more specific functions.an entity disclosed herein may be a combination of hardware and software, or software in execution.A component may be, for example, but not limited to a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer.for example, an application running on a server and a server may be a component. or more components may reside within a process and/or thread of execution and a component may be located on computers and/or distributed between two or more computers.these components may also execute from various computer-readable storage media having various data structures stored thereon.A component may communicate via local and/or remote processes, such as according to an electronic and/or remote process arrangement having or more data packets (e.g., from other computer-readable storage media having various data structures stored thereon. a signal structures such as an electronic processing component ) which may be associated with an electronic processing component or other processing component, such as an electronic processing component, wherein the processing component may include at least one or an electronic processing component, or an electronic processing component, wherein the processing component may be provided as at least one of an electronic processing component 3578, or an electronic processing component, wherein the processing component may be an electronic processing component, or an electronic processing component, wherein the processing component may be an electronic processing component, such as an electronic processing component, wherein the processing component may be an electronic processing component, wherein the processing component, or a portion of an electronic processing component, may be associated with at least one or a specific application, wherein the processing component may be an electronic processing component, may be an electronic.
As used herein, the term "article of manufacture" is intended to encompass a computer program accessible from any computer-readable device, computer-readable carrier, or computer-readable mediumTM(BD)); a smart card; flash memory devices (e.g., cards, sticks, key drives); and/or a virtual device that emulates a storage device and/or any of the computer-readable media described above.
As used in this specification, the term "processor" may refer to substantially any computing processing unit or device including, but not limited to, single-core processors, single-processor with software multithreading capability, multi-core processors with software multithreading capability, multi-core processors with hardware multithreading, parallel platforms, and parallel platforms with distributed shared memory.
In the subject specification, terms such as "store," "data store," "database," "repository," "queue," and substantially any other information storage component related to the operation and function of the component, refer to a "memory component" or an entity embodied in a "memory" or a component comprising memory. It will be appreciated that the memory components described herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Further, the memory components or memory elements may be removable or fixed. Further, the memory may be internal or external to the device or component, or removable or fixed. The memory may include various types of media that are readable by the computer, such as a hard disk drive, zip drive, magnetic cassettes, flash memory cards, or other types of memory cards, cartridges, and the like.
By way of illustration, and not limitation, nonvolatile memory can include Read Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM may be available in many forms, such as Synchronous RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). Additionally, the memory components of systems or methods disclosed herein are intended to comprise, without being limited to, including these and any other suitable types of memory.
In particular and in regard to the various functions performed by the above described components, devices, circuits, systems and the like, the terms (including a reference to a "means") used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., a functional equivalent), even though not structurally equivalent to the disclosed structure, which performs the function in the herein illustrated exemplary aspects of the embodiments. In this regard, it will also be recognized that the embodiments include a system as well as a computer-readable medium having computer-executable instructions for performing the acts and/or events of the various methods.
By way of example, and not limitation, computer-readable storage media may be implemented in connection with any method or technology for storage of information such as computer-readable instructions, program modules, structured data, or unstructured data.
In another aspect, communication media typically embodies computer readable instructions, data structures, program modules or other structured or unstructured data in a data signal such as a modulated data signal (e.g., a carrier wave or other transport mechanism) and includes any information delivery or transmission media.
Also, terms such as "user equipment," "mobile device," "mobile station," "access terminal," "handset," and similar terms generally refer to a wireless device used by a subscriber or user of a wireless communication network or service to receive or transmit data, control, voice, video, sound, gaming, or substantially any data or signaling stream.
Moreover, the terms "user," "subscriber," "client," "consumer," and the like, are used interchangeably throughout the subject specification unless context warrants specific distinction(s) ( or more). it should be appreciated that such terms may refer to human entities, associated devices, or automated components supported by artificial intelligence (e.g., the ability to infer based on complex mathematical forms) that can provide simulated vision, voice recognition, and the like.
As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or". that is, unless otherwise indicated or clear from the context, "X employs A or B" is intended to mean any of the natural inclusive permutations.
In addition, although a particular feature may have been disclosed with respect to only of several implementations, such feature may be combined with or more other features of the other implementations as may be desired and advantageous for any given or particular application.
The foregoing description of various embodiments of the subject disclosure and the corresponding figures, as well as what is described in the abstract, are presented herein for illustrative purposes and are not intended to be exhaustive or to limit the disclosed embodiments to the precise forms disclosed. It should be understood that other embodiments having modifications, permutations, combinations and additions may be implemented to perform the same, similar, alternative or alternative functions of the disclosed subject matter, and are therefore considered to be within the scope of the present disclosure as recognized by those of ordinary skill in the art. Thus, the disclosed subject matter should not be limited to any single embodiment described herein, but rather construed in breadth and scope in accordance with the following claims.
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