阅读说明：本技术 用于5g超密集组网的频率复用方法及装置 (Frequency reuse method and device for 5G ultra-dense networking ) 是由 张海涛 于 2020-03-30 设计创作，主要内容包括：本发明实施例提供一种用于5G超密集组网的频率复用方法及装置。其中,方法包括：将各目标小区进行分簇；对于每一簇内的各目标小区,根据簇的干扰水平,确定簇内的各所述目标小区的频率复用方案。本发明实施例提供的用于5G超密集组网的频率复用方法及装置,通过小区分簇,并根据每一簇的干扰水平,确定簇内的各目标小区的频率复用方案,能降低资源管理和干扰管理的复杂度,能解决网络结构和业务量变化时频谱效率下降问题,能减少对5G网络的影响。(The embodiment of the invention provides a frequency reuse method and a frequency reuse device for 5G ultra-dense networking. The method comprises the following steps: clustering each target cell; and for each target cell in each cluster, determining the frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster. The frequency reuse method and the frequency reuse device for the 5G ultra-dense networking provided by the embodiment of the invention can reduce the complexity of resource management and interference management, solve the problem of spectral efficiency reduction when the network structure and the traffic change and reduce the influence on the 5G network by clustering the cells and determining the frequency reuse scheme of each target cell in each cluster according to the interference level of each cluster.)

1. A frequency reuse method for 5G ultra-dense networking is characterized by comprising the following steps:

clustering each target cell;

and for each target cell in each cluster, determining a frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster.

2. The method according to claim 1, wherein the step of determining the frequency reuse plan of each target cell in the cluster according to the interference level of the cluster comprises:

acquiring the interference level of the cluster, and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster;

determining a frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster;

wherein the frequency reuse factor of the cluster is greater than or equal to 3.

3. The method according to claim 2, wherein the step of determining the frequency reuse plan of each target cell in the cluster according to the frequency reuse factor of the cluster comprises:

and according to the frequency reuse coefficient of the cluster, performing adjacent cell pilot frequency allocation on each target cell in the cluster.

4. The frequency reuse method for 5G ultra-dense networking according to claim 3, wherein the specific step of performing neighboring cell inter-frequency allocation on each target cell in the cluster according to the frequency reuse coefficient of the cluster comprises:

determining the frequencies used by the edge users and the center users of each target cell in the cluster according to the frequency reuse coefficient of the cluster;

and the frequency used by the edge user of each target cell is different frequency.

5. The method according to claim 4, wherein the step of determining the frequencies used by the edge users and the center users of each target cell in the cluster according to the frequency reuse coefficients of the cluster comprises:

according to the frequency reuse coefficient of the cluster, allocating a section of frequency for each target cell in the cluster, and determining the frequency used by the edge users of the target cells so that the frequency used by the edge users of each target cell is different in frequency;

and for each target cell in the cluster, determining the frequency except the frequency used by the edge user of the target cell in the full working frequency band as the frequency used by the center user.

6. The method as claimed in claim 4 or 5, wherein the determining the frequencies used by the edge users and the center users of each target cell in the cluster according to the frequency reuse factor of the cluster further comprises:

for each target cell in the cluster, determining edge users and center users of the target cell;

and transmitting signals with preset power to the central users of the target cell, and transmitting signals with integral multiple of the preset power to the edge users of the target cell.

7. The method of claim 6, wherein the step of determining the edge users and the center users of the target cell comprises:

for each user of the target cell, determining the user as a center user or an edge user according to whether the signal-to-interference-plus-noise ratio of the user is greater than a preset signal-to-noise ratio threshold value;

correspondingly, the specific step of obtaining the interference level of the cluster and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster includes:

determining the interference level of the cluster to be high or low according to the proportion of the total number of edge users of each target cell in the current cluster to the total number of users and the preset duration;

if the interference level of the cluster is high, adding a preset first numerical value to the original frequency reuse coefficient of the cluster to serve as the frequency reuse coefficient of the cluster;

and if the interference level of the cluster is low, subtracting a preset second numerical value from the original frequency reuse coefficient of the cluster to serve as the frequency reuse coefficient of the cluster.

8. A frequency reuse device for 5G ultra-dense networking, comprising:

the clustering module is used for clustering each target cell;

and a multiplexing module, configured to determine, for each target cell in each cluster, a frequency multiplexing scheme of each target cell in the cluster according to the interference level of the cluster.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, implements the steps of the frequency reuse method for 5G ultra-dense networking according to any one of claims 1 to 7.

10. A non-transitory computer readable storage medium, having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the frequency reuse method for 5G ultra dense networking according to any one of claims 1 to 7.

Technical Field

The embodiment of the invention relates to the technical field of communication, in particular to a frequency reuse method and device for 5G ultra-dense networking.

Background

Ultra-dense networking is one of the main methods for improving network capacity of a 5G system, and as the cell range is reduced, the inter-cell interference is increased and becomes abnormally complex. Therefore, besides adopting a more effective interference elimination technology at a receiving end, a more effective inter-cell interference coordination mechanism is also provided.

At present, a special interference coordination mechanism is not established aiming at 5G, and when 5G ultra-dense networking is carried out, Massive MIMO cannot be used due to scene limitation, and gains of beam forming and antenna diversity do not exist, so that an interference coordination scheme of a 4G system is basically followed.

The frequency domain inter-cell interference coordination means that the same frequency spectrum resources are used in a range beyond a certain distance through a certain frequency reuse factor. The current 4G system is a relatively mature frequency domain ICIC (Inter-cell Interference Coordination) technique, i.e., Soft Frequency Reuse (SFR), and various improved algorithms thereof.

The SFR algorithm determines by measuring Signal Received power (RSRP) when selecting a cell edge user and a center user. When RSRP is more than or equal to RSRP_ThreshhoudWhen the RSRP is not more than the RSRP, the user is divided into central users_ThreshhoudThe user is classified as an edge user. In order to adapt to the unbalanced distribution of users in a cell, an enhanced soft frequency reuse algorithm (ESFR) is added with a scheduler to realize the dynamic adjustment of resources according to the change of traffic.

However, the SFR algorithm suffers from the following disadvantages: firstly, based on an ideal hexagonal honeycomb structure, under a 5G ultra-dense networking environment, the honeycomb structure is damaged and becomes irregular, different frequencies of all adjacent cells are difficult to realize, and the problem of interference during 5G ultra-dense networking cannot be well solved; secondly, the enhanced SFR algorithm needs to collect the load information of the adjacent region, and a scheduler is added, so that the complexity of the system is greatly increased, but the gain of the frequency spectrum efficiency is limited; thirdly, if the interference level between cells is low, the waste of frequency spectrum resources is caused; fourthly, a user discrimination mechanism taking RSRP as a threshold is not suitable for an ultra-dense networking scene: due to the small coverage, the UE position attribution in the transition area is easily influenced by the ping-pong effect, which causes unnecessary signaling overhead and user performance reduction; and fifthly, the coverage area is small when ultra-dense networking is carried out, and the influence on a large-range network is caused.

Disclosure of Invention

The embodiment of the invention provides a frequency reuse method and a frequency reuse device for 5G ultra-dense networking, which are used for overcoming or at least partially overcoming the defect of influence on a large-range network in the prior art.

In a first aspect, an embodiment of the present invention provides a frequency reuse method for 5G ultra-dense networking, including:

clustering each target cell;

and for each target cell in each cluster, determining a frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster.

Preferably, the specific step of determining the frequency reuse plan of each target cell in the cluster according to the interference level of the cluster includes:

acquiring the interference level of the cluster, and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster;

determining a frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster;

wherein the frequency reuse factor of the cluster is greater than or equal to 3.

Preferably, the specific step of determining the frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster includes:

and according to the frequency reuse coefficient of the cluster, performing adjacent cell pilot frequency allocation on each target cell in the cluster.

Preferably, the specific step of performing neighboring cell pilot frequency allocation on each target cell in the cluster according to the frequency reuse factor of the cluster includes:

determining the frequencies used by the edge users and the center users of each target cell in the cluster according to the frequency reuse coefficient of the cluster;

and the frequency used by the edge user of each target cell is different frequency.

Preferably, the specific step of determining the frequencies used by the edge user and the center user of each target cell in the cluster according to the frequency reuse factor of the cluster includes:

according to the frequency reuse coefficient of the cluster, allocating a section of frequency for each target cell in the cluster, and determining the frequency used by the edge users of the target cells so that the frequency used by the edge users of each target cell is different in frequency;

and for each target cell in the cluster, determining the frequency except the frequency used by the edge user of the target cell in the full working frequency band as the frequency used by the center user.

Preferably, after determining the frequencies used by the edge user and the center user of each target cell in the cluster according to the frequency reuse factor of the cluster, the method further includes:

for each target cell in the cluster, determining edge users and center users of the target cell;

and transmitting signals with preset power to the central users of the target cell, and transmitting signals with integral multiple of the preset power to the edge users of the target cell.

Preferably, the specific step of determining the edge user and the center user of the target cell includes:

for each user of the target cell, determining the user as a center user or an edge user according to whether the signal-to-interference-plus-noise ratio of the user is greater than a preset signal-to-noise ratio threshold value;

correspondingly, the specific step of obtaining the interference level of the cluster and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster includes:

determining the interference level of the cluster to be high or low according to the proportion of the total number of edge users of each target cell in the current cluster to the total number of users and the preset duration;

if the interference level of the cluster is high, adding a preset first numerical value to the original frequency reuse coefficient of the cluster to serve as the frequency reuse coefficient of the cluster;

and if the interference level of the cluster is low, subtracting a preset second numerical value from the original frequency reuse coefficient of the cluster to serve as the frequency reuse coefficient of the cluster.

In a second aspect, an embodiment of the present invention provides a frequency reusing device for a 5G ultra-dense networking, including:

the clustering module is used for clustering each target cell;

and a multiplexing module, configured to determine, for each target cell in each cluster, a frequency multiplexing scheme of each target cell in the cluster according to the interference level of the cluster.

In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the program is executed, the steps of the frequency reuse method for 5G ultra-dense networking provided in any one of the various possible implementations of the first aspect are implemented.

In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the frequency reuse method for 5G ultra-dense networking, as provided in any one of the various possible implementations of the first aspect.

The frequency reuse method and the frequency reuse device for the 5G ultra-dense networking provided by the embodiment of the invention can reduce the complexity of resource management and interference management, solve the problem of spectral efficiency reduction when the network structure and the traffic change and reduce the influence on the 5G network by clustering the cells and determining the frequency reuse scheme of each target cell in each cluster according to the interference level of each cluster.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

Fig. 1 is a schematic flowchart of a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention;

fig. 2 is a schematic diagram of a frequency reuse manner in a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a frequency reuse manner in a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a frequency multiplexing apparatus for 5G ultra-dense networking according to an embodiment of the present invention;

fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In order to overcome the above problems in the prior art, embodiments of the present invention provide a frequency multiplexing method and apparatus for 5G ultra-dense networking, and the inventive concept is to cluster ultra-dense networking cells, and use different frequency multiplexing schemes in units of clusters, so as to solve the problem of spectral efficiency reduction when network structure and traffic change with low system complexity, and have a small range of influence on the network, and can simultaneously consider capacity and interference, thereby achieving optimal network performance.

Fig. 1 is a schematic flowchart of a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention. As shown in fig. 1, the method includes: step S101, clustering is carried out on each target cell.

Specifically, each target cell may be divided into a plurality of clusters by using a general network-based clustering method or any user-based clustering method. Each cluster includes a plurality of target cells.

Each target cell may be a part or all of the cells under the same macro base station.

For example, clustering of target cells may be achieved by:

for each target cell, determining each interference cell of the target cell, and acquiring the interference degree of each interference cell to the target cell to form an interference cell list;

each target cell can be clustered according to the interfering cell list of each target cell by a common clustering method.

And step S102, determining the frequency reuse scheme of each target cell in each cluster according to the interference level of the cluster for each target cell in each cluster.

Specifically, for each cluster obtained by clustering, an interference level between target cells in the cluster may be obtained as an interference level of the cluster.

And respectively determining the frequency reuse scheme of each target cell in each cluster according to the interference level of the cluster.

Determining the frequency reuse scheme of each target cell in each cluster, and implementing the frequency allocation of the different frequencies of all the adjacent cells in each cluster by adopting a common frequency reuse method according to the four-color theorem and/or the five-color theorem.

Because the coverage area is small when the 5G ultra-dense networking is carried out, the network structure and the interference level are sensitive to the change of the surrounding environment, and the 5G network structure or the frequency reuse scheme needs to be changed to adapt to the new change. Clustering can limit the change of the network within a range as small as possible, so that the workload of an operator is small, and the influence on the large-range network can be avoided.

The embodiment of the invention determines the frequency reuse scheme of each target cell in the cluster according to the interference level of each cluster by clustering the cells, can reduce the complexity of resource management and interference management, can solve the problem of spectral efficiency reduction when the network structure and the traffic change, and can reduce the influence on a 5G network.

Based on the content of the foregoing embodiments, the specific step of determining the frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster includes: and acquiring the interference level of the cluster, and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster.

Wherein the frequency reuse factor of the cluster is greater than or equal to 3.

Specifically, for each cluster obtained by clustering, an interference level between target cells in the cluster may be obtained as an interference level of the cluster.

The cluster interference level is lower or higher, and can be obtained by judgment based on preset judgment conditions.

And determining corresponding frequency reuse coefficients according to different interference levels of each cluster so as to adopt different frequency reuse schemes to obtain the optimal network performance.

Because the interference levels among target cells in different areas are different, a smaller frequency reuse coefficient is adopted in an area with a lower or controllable interference level, namely a cluster with a lower interference level, so as to improve the spectrum efficiency as much as possible; in the area with higher interference level, namely for the cluster with higher interference level, a larger frequency reuse coefficient is adopted to increase the isolation distance of the co-channel cells as much as possible and reduce the interference level.

And determining the frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster.

Specifically, when a 5G super-dense networking is performed, it is difficult for Small cells (micro cells, specifically, target cells) to maintain an ideal hexagonal cellular structure, and if the frequency reuse factor is fixed to 3, different frequencies of all neighboring cells cannot be realized, thereby resulting in a high interference level.

A frequency reuse scheme with a reuse factor >3 may be employed at this time.

The frequency reuse scheme of 5G has N (N is more than or equal to 3) types which are respectively marked as FR₁、FR₂、……FR_N. The frequency multiplexing scheme FRn (N is more than or equal to 1 and less than or equal to N) is the frequency multiplexing scheme with the frequency multiplexing coefficient N.

The frequency reuse plan of each target cell in each cluster can be determined based on the frequency reuse coefficient of each cluster by adopting a common frequency reuse method according to the "four-color theorem" and/or the "five-color theorem".

According to the embodiment of the invention, by acquiring the interference level of the cluster, determining the frequency reuse coefficient of the cluster according to the interference level of the cluster, and determining the frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster, the complexity of resource management and interference management can be reduced, the problem of spectral efficiency reduction when the network structure and the traffic change can be solved, and the influence on a 5G network can be reduced. And moreover, a frequency reuse mode with the frequency reuse coefficient larger than 3 is adopted, the problem of interference caused by irregular honeycomb structure during 5G ultra-dense networking can be solved, and the interference of frequency reuse is reduced.

Based on the content of the foregoing embodiments, the specific step of determining the frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster includes: and according to the frequency reuse coefficient of the cluster, carrying out frequency allocation of different frequencies of adjacent cells on each target cell in the cluster.

Specifically, according to the frequency reuse factor n of the cluster, the working frequency band of the 5G system is divided into n parts, which are respectively denoted as F₁、F₂、……F_nThe whole working frequency band is marked as F₀。

And based on the division of the working frequency band, performing adjacent cell pilot frequency allocation on each target cell in the cluster, and realizing that the frequencies of the target cell in each cluster and the adjacent cell of the target cell are mutually pilot frequencies.

According to the frequency reuse coefficient of the cluster, the embodiment of the invention carries out frequency distribution of different frequencies of adjacent cells on each target cell in the cluster, realizes frequency reuse based on clustering, and can reduce the influence on a 5G network.

Based on the content of the foregoing embodiments, the specific step of performing neighboring cell pilot frequency allocation on each target cell in the cluster according to the frequency reuse factor of the cluster includes: and determining the frequencies used by the edge users and the center users of each target cell in the cluster according to the frequency reuse coefficients of the cluster.

Wherein, the frequency used by the edge user of each target cell is different frequency.

It will be appreciated that for each cell, the users of that cell may be divided into edge users and center users.

Specifically, when performing frequency allocation of neighboring cell inter-frequencies to each target cell in the cluster, in order to reduce interference between cells, frequencies used by edge users of each cell are determined to be different frequencies.

For each target cell in the cluster, the frequency used by the center user of the target cell may be determined according to the frequency used by the edge users of the target cell.

According to the frequency reuse coefficient of the cluster, the embodiment of the invention carries out frequency distribution of different frequencies of adjacent cells on each target cell in the cluster, realizes frequency reuse based on clustering, and can reduce the influence on a 5G network.

Based on the content of the foregoing embodiments, the specific step of determining the frequencies used by the edge user and the center user of each target cell in the cluster according to the frequency reuse factor of the cluster includes: according to the frequency reuse coefficient of the cluster, allocating a section of frequency for each target cell in the cluster, and determining the frequency used by the edge user of the target cell, so that the frequency used by the edge user of each target cell is different in frequency.

Specifically, for a cluster of frequency reuse coefficients n, the operating frequency band of a 5G system may be divided into n portions, denoted as F respectively₁、F₂、……F_nThe whole working frequency band is marked as F₀。

F may be used by the edge users of each target cell in the cluster_i(i is more than or equal to 1 and less than or equal to n), and the frequency pilot frequency used by users at the edge of different target cells (n is more than or equal to 3).

And for each target cell in the cluster, determining the frequency except the frequency used by the edge user of the target cell in the full working frequency band as the frequency used by the center user.

Accordingly, the center user of the target cell may use Fo-F_i。

Fig. 2 is a schematic diagram of a frequency reuse mode in a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention. Fig. 2 shows the frequencies used by the edge users and the center users of each target cell in a cluster. In fig. 2, the higher column part is the frequency used by the edge user of the target cell, and the lower column part is the frequency used by the center user of the target cell.

It should be noted that when the frequency reuse factor is large, a frequency selective fading phenomenon may occur. In order to avoid the frequency selective fading phenomenon, an Orthogonal Frequency Division Multiplexing (OFDM) scheme may be employed.

One of the advantages of orthogonal frequency division multiplexing is the ability to combat frequency selective fading. When the frequency reuse factor is larger, the frequency band used at the edge of the cell is narrower, and the capability of resisting frequency selective fading is greatly reduced, so that the frequency band used at the edge of each cell can be dispersed to the whole working frequency band with smaller granularity.

Fi (i is more than or equal to 1 and less than or equal to n) used for the edge of a cell in an original frequency reuse mode FRn is dispersed into m parts in the whole working frequency band and is recorded as Fi ═ f_i1,f_i2,......f_im) Then, the frequency band for the cell edge is expressed as:

wherein f is_ij(i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m) are mutually orthogonal.

f_ijAnd (i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to m) are mutually orthogonal, so that orthogonal frequency division multiplexing is formed.

Fig. 3 is a schematic diagram of a frequency reuse mode in a frequency reuse method for 5G ultra-dense networking according to an embodiment of the present invention. Fig. 3 shows the frequencies used by the edge users and the center users of each target cell in a certain cluster in the ofdm scheme. In fig. 3, the higher-level columns are frequencies used by the edge users of the target cell, and the lower-level columns are frequencies used by the center users of the target cell.

Since the frequency resources for the edge of each target cell are dispersed over the entire operating frequency band, possible frequency selective fading can be effectively combated by RB (Resource Block) Resource scheduling.

The embodiment of the invention determines the frequency reuse scheme of each target cell in the cluster according to the frequency reuse coefficient of the cluster, can reduce the complexity of resource management and interference management, can solve the problem of spectral efficiency reduction when the network structure and the traffic volume change, and can reduce the influence on the 5G network.

Based on the content of the foregoing embodiments, after determining the frequencies used by the edge user and the center user of each target cell in the cluster according to the frequency reuse factor of the cluster, the method further includes: for each target cell within the cluster, edge users and center users of the target cell are determined.

Specifically, for each target cell in the cluster, the edge user and the center user of the target cell may be determined according to the RSRP (Reference Signal Receiving Power) or SINR (Signal to Interference plus Noise Ratio) of each user of the target cell.

And transmitting signals with preset power to the central users of the target cell, and transmitting signals with integral multiple of the preset power to the edge users of the target cell.

Specifically, the base station transmits a UE (User Equipment) at the center of the cell with a lower power Po, and transmits a UE at the edge of the cell with a high power ρ Po (ρ ≧ 1, ρ ═ 1 is limited to only a scenario with a multiplexing coefficient of 1).

It should be noted that the UEs correspond to the users one to one.

The embodiment of the invention adopts the preset power to transmit the signal by the central user of the target cell and adopts the power which is integer times of the preset power to transmit the signal by the edge user, thereby reducing the interference between the central user and the edge user in the target cell.

Based on the content of the foregoing embodiments, the specific steps of determining the edge user and the center user of the target cell include: and for each user in the target cell, determining the user as a center user or an edge user according to whether the signal-to-interference-plus-noise ratio of the user is greater than a preset signal-to-noise ratio threshold.

It can be understood that how to set the selection thresholds of the cell edge users and the center users has a significant impact on the performance of the interference coordination algorithm.

Specifically, for each user in the target cell, the division between the cell edge users and the center user may be performed with the SINR as a threshold. That is, when the SINR is larger than or equal to the SINR_ThreshhoudWhen the user is divided into central users, when SINR is less than or equal to SINR_ThreshhoudThe user is classified as an edge user.

Wherein, the SINR represents a signal to interference plus noise ratio of the user; SINR_ThreshhoudRepresenting a preset signal-to-noise threshold.

Because the SINR is related to multiple factors such as signal power, interference condition, cell load condition and the like, the use of the SINR to judge edge users and center users is not easy to cause ping-pong effect, and the ping-pong effect of taking the signal level as a selection threshold in a transition region is avoided.

Correspondingly, the specific step of acquiring the interference level of the cluster and determining the frequency reuse coefficient of the cluster according to the interference level of the cluster comprises the following steps: and determining the interference level of the cluster to be high or low according to the proportion of the total number of the edge users of each target cell in the current cluster to the total number of the users and the preset duration.

Specifically, the SINR is used as a user selection threshold, which is easy to distinguish the cell interference level: when the proportion of the total number of edge users of each target cell in the cluster to all the users in the cluster exceeds a threshold alpha (alpha is more than or equal to 0 and less than or equal to 1) and lasts for a period of time T, the intra-cluster interference level is considered to be high; and when the proportion of the total number of the edge users of each target cell in the cluster to all the users in the cluster is lower than a threshold beta (beta is more than or equal to 0 and less than or equal to 1) and lasts for a period of time T, the intra-cluster interference level is considered to be low. Wherein alpha is a first proportional threshold value and beta is a second proportional threshold value, and the first proportional threshold value is larger than the second proportional threshold value; t is a preset duration.

Specific values of α, β, and T may be predetermined according to actual conditions, and the specific values are not limited in the embodiment of the present invention.

It should be noted that SINR may be dynamically obtained at different time, so that the total number of edge users of each target cell in a cluster and the total number of users in the cluster are also dynamically obtained, and the ratio of the total number of edge users of each target cell in the cluster to the total number of users obtained this time is the ratio of the total number of edge users of each target cell in the current cluster to the total number of users.

And if the interference level of the cluster is high, adding a preset first numerical value to the original frequency reuse coefficient of the cluster to be used as the frequency reuse coefficient of the cluster.

Specifically, for a cluster, when the interference level of the cluster is high, a frequency reuse mode of "original frequency reuse factor + m" (m ≧ 1) may be adopted. Namely, the original frequency reuse factor + m is determined as the frequency reuse factor of the cluster.

The original multiplexing coefficient refers to a frequency multiplexing coefficient determined based on the proportion of the total number of edge users of each target cell in the cluster obtained last time to the total number of users.

And the original frequency reuse coefficient + m is the frequency reuse coefficient of the cluster determined based on the proportion of the total number of the edge users of each target cell in the cluster obtained at this time to the total number of the users.

And if the interference level of the cluster is low, subtracting a preset second numerical value from the original frequency reuse coefficient of the cluster to serve as the frequency reuse coefficient of the cluster.

Specifically, for a cluster, when the interference level of the cluster is high, a frequency reuse mode of the original frequency reuse coefficient-k (k is more than or equal to 1) can be adopted. Namely, the original frequency reuse factor-k is determined as the frequency reuse factor of the cluster.

The original multiplexing coefficient refers to a frequency multiplexing coefficient determined based on the proportion of the total number of edge users of each target cell in the cluster obtained last time to the total number of users.

And the original frequency reuse coefficient-k is the frequency reuse coefficient of the cluster determined based on the proportion of the total number of the edge users of each target cell in the cluster obtained at this time to the total number of the users.

The change of the intra-cluster frequency reuse mode can be performed in a time period with low traffic (such as in the morning) or when the network structure changes (such as new building or dismantling of a base station).

According to the embodiment of the invention, the user is determined to be the central user or the edge user according to whether the signal-to-interference-plus-noise ratio of the user is greater than the preset signal-to-noise ratio threshold, so that the ping-pong effect can be greatly reduced.

Fig. 4 is a schematic structural diagram of a frequency multiplexing apparatus for 5G ultra-dense networking according to an embodiment of the present invention. Based on the content of the above embodiments, as shown in fig. 4, the apparatus includes a clustering module 401 and a multiplexing module 402, where:

a clustering module 401, configured to cluster each target cell;

a multiplexing module 402, configured to determine, for each target cell in each cluster, a frequency multiplexing scheme of each target cell in the cluster according to the interference level of the cluster.

Specifically, the clustering module 401 is electrically connected with the multiplexing module 402.

The clustering module 401 may adopt a common network-based clustering method or any user-based clustering method to divide each target cell into a plurality of clusters. Each cluster includes a plurality of target cells.

For each cluster obtained by clustering, the multiplexing module 402 may obtain an interference level between target cells in the cluster as an interference level of the cluster; and respectively determining the frequency reuse scheme of each target cell in each cluster according to the interference level of the cluster.

The frequency reuse apparatus for 5G super-dense networking according to the embodiments of the present invention is configured to execute the frequency reuse method for 5G super-dense networking according to the foregoing embodiments of the present invention, and specific methods and processes for implementing corresponding functions by modules included in the frequency reuse apparatus for 5G super-dense networking are described in detail in the foregoing embodiments of the frequency reuse method for 5G super-dense networking, and are not described herein again.

The frequency reuse device for 5G ultra-dense networking is used in the frequency reuse method for 5G ultra-dense networking of the foregoing embodiments. Therefore, the description and definition in the frequency reuse method for 5G ultra-dense networking in the foregoing embodiments can be used for understanding the execution modules in the embodiments of the present invention.

The embodiment of the invention determines the frequency reuse scheme of each target cell in the cluster according to the interference level of each cluster by clustering the cells, can reduce the complexity of resource management and interference management, can solve the problem of spectral efficiency reduction when the network structure and the traffic change, and can reduce the influence on a 5G network.

Fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention. Based on the content of the above embodiment, as shown in fig. 5, the electronic device may include: a processor (processor)501, a memory (memory)502, and a bus 503; the processor 501 and the memory 502 complete communication with each other through a bus 503; the processor 501 is configured to invoke computer program instructions stored in the memory 502 and executable on the processor 501 to perform the frequency reuse method for 5G ultra-dense networking provided by the above-mentioned method embodiments, for example, including: clustering each target cell; and for each target cell in each cluster, determining the frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster.

Another embodiment of the present invention discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the frequency reuse method for 5G ultra-dense networking provided by the above-mentioned method embodiments, for example, the method includes: clustering each target cell; and for each target cell in each cluster, determining the frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster.

Furthermore, the logic instructions in the memory 502 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Another embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, the computer instructions causing a computer to execute the frequency reuse method for 5G ultra-dense networking provided by the above method embodiments, for example, including: clustering each target cell; and for each target cell in each cluster, determining the frequency reuse scheme of each target cell in the cluster according to the interference level of the cluster.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. It is understood that the above-described technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method of the above-described embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.