阅读说明：本技术 一种fdd-lte基站电磁辐射预测方法 (FDD-LTE base station electromagnetic radiation prediction method ) 是由 杨万春 谌艺然 于 2020-06-22 设计创作，主要内容包括：本发明公开了一种FDD-LTE基站电磁辐射预测方法,该方法提出建立PDSCH信道数据包排队模型,考虑PDSCH信道数据包到达情况,通过实际测量PDSCH信道数据包到达获得参数数值,由M/M/m/m排队模型,求出PDSCH信道的平均传输数据包数量N<Sub>avg</Sub>,然后计算出PDSCH信道占空比,再结合最大电磁辐射强度,计算出基站的平均电磁辐射强度。通过本发明提出的预测方法,对基站电磁辐射预测有着很大的参考价值,并具有一定的社会效益。(The invention discloses an FDD-LTE base station electromagnetic radiation prediction method, which proposes to establish a PDSCH channel data packet queuing model, considers the arrival condition of the PDSCH channel data packet, obtains parameter values by actually measuring the arrival of the PDSCH channel data packet, and obtains the average transmission data packet quantity N of the PDSCH channel by using an M/M/M/M queuing model avg Then, the PDSCH channel duty ratio is calculated, and the average electromagnetic radiation intensity of the base station is calculated by combining the maximum electromagnetic radiation intensity. The prediction method provided by the invention has great reference value for the prediction of the electromagnetic radiation of the base station and has certain social benefit.)

1. An FDD-LTE base station electromagnetic radiation prediction method is characterized by comprising the following steps:

(1) establishing a PDSCH channel data packet queuing model, wherein the model comprises the following components: PDSCH channel packet arrival probability distribution P_k(t) and PDSCH channel packet transmission time probability density function f (x); simultaneous passing of frequency spectrumThe analyzer measures the arrival of PDSCH channel data packet in time domain to obtain P_k(t) and the values of the relevant parameters in (f), (x);

(2) according to the number of Resource Elements (RE) of the PDSCH channel, the number m of the maximum number of data packets which can be accommodated on the PDSCH channel is obtained, and the unit is one;

(3) PDSCH channel packet arrival probability distribution P according to step (1)_k(t) establishing an M/M/M/M queuing model of the data packets according to the probability density function f (x) of the transmission time of the PDSCH channel data packet and the maximum number M of the data packets which can be accommodated on the PDSCH channel in the step (2), and calculating the average number N of the transmission data packets of the PDSCH channel_avgThe unit is one;

(4) according to the maximum number m of data packets which can be accommodated on the PDSCH channel obtained in the step (2) and the average number N of transmission data packets of the PDSCH channel obtained in the step (3)_avgObtaining the PDSCH channel duty ratio D;

(5) measuring maximum electromagnetic radiation intensity E using a spectrum analyzer_maxAnd predicting the average electromagnetic radiation intensity E by combining the PDSCH channel duty ratio D obtained in the step (4)_avg。

2. The method of claim 1, wherein in step (1), the probability distribution of arrival P of PDSCH channel packet is determined_k(t) and PDSCH channel packet transmission time probability density function f (x) is:

f(x)＝μe^-μx

in the above equation, P (n (t) ═ k) represents the probability that the number of PDSCH channel packets arriving is k until time t; n (t) is a random variable indicating the number of PDSCH channel packets arriving up to time t; t is time in ms; k is the arrival number of the data packets, and the unit is one; λ is a parameter of a poisson process obeyed by PDSCH channel packet arrival; (x) is the probability density function of the transmission time of the PDSCH channel data packet, x is the transmission time of the data packetThe bits are ms; mu is a parameter subject to exponential distribution of the transmission time of the PDSCH channel data packet; meanwhile, the arrival condition of the PDSCH channel data packet is measured in the time domain through a spectrum analyzer to obtain P_kThe values of the relevant parameters in (t) and f (x).

3. The method for predicting electromagnetic radiation of FDD-LTE base station as claimed in claim 1, wherein in step (2), the maximum number of data packets m that can be accommodated on the PDSCH channel is calculated as follows:

in the above formula, N_REThe number of resource elements REs that are PDSCH channels; d is the average packet size in bits.

4. The method as claimed in claim 1, wherein the step (3) is combined with the PDSCH channel packet arrival probability distribution P of step (1)_k(t) and probability density function f (x) of transmission time of PDSCH channel data packet, and the maximum number m of data packets that can be accommodated on PDSCH channel in step (2), the average number N of data packets transmitted on PDSCH channel_avgIs calculated as follows:

in the above formula, λ is a parameter subject to a poisson process when a PDSCH channel packet arrives; μ is a parameter subject to exponential distribution of PDSCH channel packet transmission times.

5. The method for predicting electromagnetic radiation of FDD-LTE base station as claimed in claim 1, wherein in said step (4), the maximum number of data packets m that can be accommodated on the PDSCH channel obtained in step (2) and the average number of data packets N transmitted on the PDSCH channel obtained in step (3) are combined_avgThe PDSCH channel duty cycle D is calculated as follows:

in the above formula, m is the maximum number of data packets that can be accommodated on the PDSCH channel, and N is_avgIs the average number of transmitted packets for the PDSCH channel.

6. The method for predicting electromagnetic radiation of FDD-LTE base station as claimed in claim 1, wherein in step (5), the method for measuring the maximum electromagnetic radiation intensity by using a spectrum analyzer comprises:

setting a spectrum analyzer into a Max-Hold measuring mode, setting Sweeptime into automatic, and storing a measuring result after signal tracking is stable to obtain the maximum electromagnetic radiation intensity E_maxThe unit is V/m;

E_avgrepresents the average electromagnetic radiation intensity in units of V/m; e_maxRepresents the maximum electromagnetic radiation intensity in V/m; d denotes a PDSCH channel duty cycle.

Technical Field

The invention relates to an FDD-LTE base station electromagnetic radiation prediction method.

Background

With the rapid development of mobile communication technology, the demand of communication extends to every corner of people's life, brings great convenience to people, and simultaneously also makes people generate anxiety to the electromagnetic radiation problem of mobile communication base stations. The electromagnetic radiation of the base station has an inseparable relationship with the service data condition sent by the base station, and the PDSCH channel is the most main physical channel for data transmission in the downlink, but in the currently published documents and patents, the connection between the sending condition of the PDSCH channel data packet and the body exposure electromagnetic radiation value of people is rarely considered, and the effective estimation is carried out on the electromagnetic radiation exposure level of the base station.

Aiming at the defects in the prior art, the patent provides an FDD-LTE base station electromagnetic radiation prediction method, which comprises the steps of firstly establishing a PDSCH channel data packet queuing model, obtaining parameter values by combining the actually measured PDSCH channel data packet arrival condition, and calculating the average transmission data packet quantity N of the PDSCH channel by using the M/M/M/M queuing model_avgThen, howeverAnd then calculating the PDSCH channel duty ratio, and calculating the average electromagnetic radiation intensity of the base station by combining the maximum electromagnetic radiation intensity. The prediction method provided by the invention has great reference value for the prediction of the electromagnetic radiation of the base station.

Disclosure of Invention

In order to solve the technical problem, the invention provides an electromagnetic radiation prediction method for an FDD-LTE base station, which comprises the following steps:

(1) establishing a PDSCH channel data packet queuing model, wherein the model comprises the following components: PDSCH channel packet arrival probability distribution P_k(t) and PDSCH channel packet transmission time probability density function f (x); meanwhile, the arrival condition of the PDSCH channel data packet is measured in the time domain through a spectrum analyzer to obtain P_k(t) and the values of the relevant parameters in (f), (x);

(2) according to the number of Resource Elements (RE) of the PDSCH channel, the number m of the maximum number of data packets which can be accommodated on the PDSCH channel is obtained, and the unit is one;

(3) PDSCH channel packet arrival probability distribution P according to step (1)_k(t) establishing an M/M/M/M queuing model of the data packets according to the probability density function f (x) of the transmission time of the PDSCH channel data packet and the maximum number M of the data packets which can be accommodated on the PDSCH channel in the step (2), and calculating the average number N of the transmission data packets of the PDSCH channel_avgThe unit is one;

(4) according to the maximum number m of data packets which can be accommodated on the PDSCH channel obtained in the step (2) and the average number N of transmission data packets of the PDSCH channel obtained in the step (3)_avgObtaining the PDSCH channel duty ratio D;

(5) measuring maximum electromagnetic radiation intensity E using a spectrum analyzer_maxAnd predicting the average electromagnetic radiation intensity E by combining the PDSCH channel duty ratio D obtained in the step (4)_avg。

In the method for predicting electromagnetic radiation of FDD-LTE base station, in the step (1), the probability distribution P of arrival of PDSCH channel packet is_k(t) and PDSCH channel packet transmission time probability density function f (x) is:

f(x)＝μe^-μx

in the above equation, P (n (t) ═ k) represents the probability that the number of PDSCH channel packets arriving is k until time t; n (t) is a random variable indicating the number of PDSCH channel packets arriving up to time t; t is time in ms; k is the arrival number of the data packets, and the unit is one; λ is a parameter of a poisson process obeyed by PDSCH channel packet arrival; (x) is a probability density function of the transmission time of the PDSCH channel data packet, wherein x is the transmission time of the data packet and has the unit of ms; mu is a parameter subject to exponential distribution of the transmission time of the PDSCH channel data packet; meanwhile, the arrival condition of the PDSCH channel data packet is measured in the time domain through a spectrum analyzer to obtain P_kThe values of the relevant parameters in (t) and f (x).

In the step (2), the maximum number m of data packets that can be accommodated on the PDSCH channel is calculated as follows:

in the above formula, N_REThe number of resource elements REs that are PDSCH channels; d is the average packet size in bits.

In the method for predicting electromagnetic radiation of FDD-LTE base station, in the step (3), the PDSCH channel packet arrival probability distribution P in the step (1) is combined_k(t) and probability density function f (x) of transmission time of PDSCH channel data packet, and the maximum number m of data packets that can be accommodated on PDSCH channel in step (2), the average number N of data packets transmitted on PDSCH channel_avgIs calculated as follows:

in the above formula, λ is a parameter subject to a poisson process when a PDSCH channel packet arrives; μ is a parameter subject to exponential distribution of PDSCH channel packet transmission times.

In the above method for predicting electromagnetic radiation of FDD-LTE base station, in the step (4), the maximum number m of data packets that can be accommodated on the PDSCH channel obtained in the step (2) and the average number N of data packets transmitted on the PDSCH channel obtained in the step (3) are combined_avgThe PDSCH channel duty cycle D is calculated as follows:

in the above formula, m is the maximum number of data packets that can be accommodated on the PDSCH channel, and N is_avgIs the average number of transmitted packets for the PDSCH channel.

In the method for predicting electromagnetic radiation of an FDD-LTE base station, in the step (5), the method for measuring the maximum electromagnetic radiation intensity by using a spectrum analyzer includes:

setting a spectrum analyzer into a Max-Hold measuring mode, setting Sweeptime into automatic, and storing a measuring result after signal tracking is stable to obtain the maximum electromagnetic radiation intensity E_maxThe unit is V/m;

E_avgrepresents the average electromagnetic radiation intensity in units of V/m; e_maxRepresents the maximum electromagnetic radiation intensity in V/m; d denotes a PDSCH channel duty cycle.

The invention has the beneficial effects that: according to the service data condition sent by the PDSCH channel of the actual base station, a PDSCH channel data packet queuing model is put forward and the average transmission data packet quantity N of the PDSCH channel is calculated by the M/M/M/M queuing model_avgThen, the PDSCH channel duty ratio is calculated, and the average electromagnetic radiation intensity of the base station is calculated by combining the maximum electromagnetic radiation intensity. The prediction method provided by the invention has great reference value for the prediction of the electromagnetic radiation of the base station.

Detailed Description

The present invention will be further described with reference to the following examples.

The implementation place of the invention is outdoor, the implementation object is an FDD-LTE base station, and the measuring equipment adopts KEYSIGHTN9918A portable spectrum analyzer and receiving antenna.

The invention discloses an FDD-LTE base station electromagnetic radiation prediction method, which comprises the following steps:

(1) establishing a PDSCH channel data packet queuing model, wherein the model comprises the following components: PDSCH channel packet arrival probability distribution P_k(t) and PDSCH channel packet transmission time probability density function f (x); meanwhile, the arrival condition of the PDSCH channel data packet is measured in the time domain through a spectrum analyzer to obtain P_k(t) and the values of the relevant parameters in (f), (x);

(2) according to the number of Resource Elements (RE) of the PDSCH channel, the number m of the maximum number of data packets which can be accommodated on the PDSCH channel is obtained, and the unit is one;

(3) PDSCH channel packet arrival probability distribution P according to step (1)_k(t) establishing an M/M/M/M queuing model of the data packets according to the probability density function f (x) of the transmission time of the PDSCH channel data packet and the maximum number M of the data packets which can be accommodated on the PDSCH channel in the step (2), and calculating the average number N of the transmission data packets of the PDSCH channel_avgThe unit is one;

(4) according to the maximum number m of data packets which can be accommodated on the PDSCH channel obtained in the step (2) and the average number N of transmission data packets of the PDSCH channel obtained in the step (3)_avgObtaining the PDSCH channel duty ratio D;

(5) measuring maximum electromagnetic radiation intensity E using a spectrum analyzer_maxAnd predicting the average electromagnetic radiation intensity E by combining the PDSCH channel duty ratio D obtained in the step (4)_avg。

In the step (1), a spectrum analyzer is used to measure the base station signal in the time domain, and the parameters are set as follows:

TABLE 1 Spectrum Analyzer parameter settings

Obtaining a packet arrival probability distribution P_k(t) parameter λ ═ 0.269, packet transit time probability densityThe parameter μ of the function f (x) is 0.875;

in the step (2), N_RE23488, d 1500bit, the maximum number of data packets m that can be accommodated on the PDSCH channel is calculated as follows:

in the step (3), the average number of transmitted data packets N of the PDSCH channel_avgThe calculation is as follows:

in the step (4), the PDSCH channel duty cycle D is calculated as follows:

in the step (5), the spectrum analyzer is set to be in a Max-Hold measuring mode, Sweeptime is set to be automatic, and when signal tracking is stable, a measuring result is stored to obtain the maximum electromagnetic radiation intensity E_maxThe average electromagnetic radiation was calculated as 0.573V/m:

the intensity of the electromagnetic radiation measured by the method of continuous measurement for 6 minutes is E_6minThe calculated value of the average electromagnetic radiation intensity of the base station is not greatly different from the actual measured value, and the effectiveness of the prediction method provided by the invention patent is verified.