Factor mapping-based same-frequency performance deduction method for wireless communication equipment

Abstract

The invention discloses a wireless communication equipment co-frequency performance deduction method based on factor mapping, which comprises the following steps of: (1) quantifying factors such as link gain, distance, retransmission times and bandwidth, and respectively constructing a transplantation factor, a distance factor, a retransmission factor and a bandwidth factor; (2) detecting the performance reference of the source wireless communication equipment under the same-frequency condition; (3) constructing a multivariable performance model; (4) deducing the throughput, the time delay and the packet loss rate of the target wireless communication equipment under the same frequency band; and (5) performing target optimization according to a deduction result. An exponential bandwidth factor, a transplantation factor, a distance factor and a retransmission factor are introduced, and a multivariable regression model is combined, so that the purposes of improving the accuracy of performance prediction under the same frequency condition and improving the applicability of wireless communication scenes of all frequency bands are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication, and particularly relates to a wireless communication device same-frequency performance deduction method based on factor mapping. BACKGROUND

[0002] In a wireless communication system, performance evaluation of a device under the same frequency band is a core link of design and optimization. In the prior art, it is generally assumed that the influence of bandwidth on performance is linear, and the exponential decay characteristics and the complex interaction effects of hardware differences and environment are ignored, resulting in insufficient prediction accuracy.

[0003] How to improve the prediction accuracy is a technical problem that needs to be solved by the technical personnel in the technical field.

[0004] The information disclosed in the background section of this document is only intended to deepen the understanding of the overall background of the present application, and should not be regarded as recognizing or implying in any form that the information constitutes prior art known to those skilled in the art. SUMMARY

[0005] To solve the above technical problems, the present application provides a wireless communication device same-frequency performance deduction method based on factor mapping, so as to improve the accuracy of performance prediction under the same frequency condition and improve the applicability of each frequency band wireless communication scene.

[0006] To achieve the above purpose, the technical scheme of the present application is as follows:

[0007] A wireless communication device same-frequency performance deduction method based on factor mapping comprises the following steps:

[0008] (1) Quantize factors such as link gain, distance, retransmission times and bandwidth, and construct transplantation factor, distance factor, retransmission factor and bandwidth factor respectively;

[0009] (2) Detect the performance benchmark of the source wireless communication device under the same frequency condition;

[0010] (3) Construct a multivariate performance model;

[0011] (4) Deduce the throughput, delay and packet loss rate of the target wireless communication device under the same frequency band;

[0012] (5) According to the deduction result, the target is optimized.

[0013] The present application provides a performance deduction method based on factor mapping, which introduces exponential bandwidth factor, transplantation factor, distance factor and retransmission factor, and combines a multivariate regression model, so as to improve the accuracy of performance prediction under the same frequency condition and improve the applicability of each frequency band wireless communication scene.

[0014] Further, it is worth noting that in step (1)

[0015] Transplant factor is defined as:

[0016] Where, G link = P tx + G tx + G rx -L rf , P tx is the transmit power, G tx is the transmit antenna gain, G rx is the receive antenna gain, and L rf is the RF front-end insertion loss.

[0017] Distance factor is defined as:

[0018] Where, path loss D dist is the communication distance, f is the operating frequency, L env is the environmental loss, and c = 3 x 10 8 m / s.

[0019] Re-transmission factor is defined as: Where, N retry is the number of re-transmissions in the protocol log.

[0020] Bandwidth factor is defined as: Where, BW tgt and BW src are the bandwidths of the target device and the source device, respectively.

[0021] Further, it is worth noting that parameters P tx , G tx , G rx , L rf : obtained through device specification table or RF test; f: determined based on the protocol channel (e.g., IEEE 802.11); BW: extracted from device configuration; D dist : obtained through on-site measurement; N retry : extracted from MAC layer protocol log; F trans : based on the difference in link gain; F dist : based on the free-space path loss formula, combined with the measured L env ; F retry : based on the retransmission count; F BW : based on the exponential bandwidth effect.

[0022] Further, it is worth noting that in step (3) the performance prediction formula is:

[0023] Delay model formula:

[0024] D tgt =D src ·(1+k d ·(1-F trans )+k dd ·(F dist -1)+k dd2 ·(F dist -1) 2 +k dr ·(F retry -1)+k db ·(1-F BW ))

[0025] Packet loss rate model formula:

[0026]

[0027] Throughput model formula:

[0028] T tgt =T src ·F BW ·(1-k t ·(1-F trans )-k td ·(F dist -1)-k tr ·(F retry -1)).

[0029] It is also worth noting that in step (3), more than 10 source-target device pairs are acquired, covering different G... link D dist N retry BW;

[0030] The independent variable is: X1 = 1 - F trans X2 = F dist -1,X3=F retry -1,X4=(F dist -1) 2 X5 = 1 - F BW ;

[0031] Dependent variable:

[0032] Fit using the least squares method: k = (X) T X) -1 X T Y.

[0033] It is also worth noting that the target optimization in step (5) based on the deduction results specifically involves: increasing P tx Or optimize antenna design to improve Glink Or adjust the protocol parameters.

[0034] The present invention has the following advantages:

[0035] 1. This invention proposes a method for predicting the performance of wireless communication devices at the same frequency based on factor mapping. By introducing an exponential bandwidth factor, a transfer factor, a distance factor, and a retransmission factor, and combining them with a multivariate regression model, the method aims to improve the accuracy of performance prediction under the same frequency condition and enhance the applicability of wireless communication scenarios in various frequency bands. Detailed Implementation

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below.

[0037] This invention provides a method for predicting the performance of wireless communication devices at the same frequency based on factor mapping. Its working principle is to introduce an exponential bandwidth factor, a transfer factor, a distance factor, and a retransmission factor, and combine them with a multivariate regression model to improve the accuracy of performance prediction under the same frequency condition and to improve the applicability of wireless communication scenarios in various frequency bands.

[0038] The present invention will be further described in detail below with reference to embodiments and specific implementation methods.

[0039] Example 1: From smartphone to laptop (2.4GHz Wi-Fi).

[0040] in:

[0041] 1. Source equipment:

[0042] f = 2.4 GHz, BW = 20 MHz, D dist =10m,N retry =1;

[0043] D src =30ms, T src =20Mbps.

[0044] 2. Target equipment:

[0045] f = 2.4 GHz, BW = 40 MHz, D dist =20m,N retry =2.

[0046] 3. Prediction Results:

[0047] F trans =e (2-14) / 10 =0.301, F retry=1 + (2 - 1) / (1 + 1) = 1.5,

[0048] D tgt =30·(1+0.07·0.699+0.035·3+0.005·9+0.115·0.5+0.02·0.499)=49.2ms

[0049]

[0050] T tgt =20·0.501·(1-0.05·0.699-0.02·3-0.025·0.5)=9.2Mbps.

[0051] 4. Optimization suggestions: Due to T tgt <50Mbps, it is recommended to add P tx Alternatively, switch to 80MHz bandwidth to increase throughput.

[0052] Example 2: Router to Server (5GHz Wi-Fi)

[0053] (1) Source device:

[0054] f = 5GHz, BW = 40MHz, D dist =10m,N retry =0;

[0055] D src =20ms, T src =50Mbps.

[0056] (2) Target equipment:

[0057] f = 5GHz, BW = 80MHz, D dist =15m,N retry =1.

[0058] (3) Prediction results:

[0059] F trans =e (25-20) / 10 =1.649, F retry =1 + (1 - 0) / (0 + 1) = 2.0,

[0060] D tgt = 20·(1+0.07·(-0.649)+0.035·1.25+0.005·1.5625+0.115·1+0.02·

[0061] 0.499) = 24.8ms;

[0062]

[0063] T tgt =50·0.501·(1-0.05·(-0.649)-0.02·1.25-0.025·1)=24.9Mbps.

[0064] (4) Optimization suggestions: Due to T tgt For speeds below 50Mbps, it is recommended to switch to 160MHz bandwidth or optimize channel selection to reduce interference.

[0065] Through the above methods, the factor mapping-based method for extrapolating the performance of wireless communication devices at the same frequency provided by this invention improves the accuracy of data by employing an exponential bandwidth factor and a nonlinear factor model, which conforms to Shannon theory and link budget law. Optimized for data communication, it is particularly suitable for high-throughput scenarios, enhancing the method's adaptability. This invention is applicable to any wireless communication system at the same frequency (such as 2.4GHz / 5GHz Wi-Fi), improving its versatility. Furthermore, this invention provides corresponding hardware and protocol optimization suggestions, facilitating engineering implementation and improving operability.

[0066] The above description is merely a preferred embodiment of the method for inferring the co-frequency performance of wireless communication devices based on factor mapping disclosed in this invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept of this invention, and these modifications and improvements all fall within the protection scope of this invention.

Claims

1. A method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping, characterized in that, It includes the following steps: (1) Quantify factors such as link gain, distance, number of retransmissions and bandwidth, and construct the porting factor, distance factor, retransmission factor and bandwidth factor respectively; (2) Test the performance benchmark of the source wireless communication equipment under the same frequency condition; (3) Construct a multivariate performance model; (4) Estimate the throughput, latency and packet loss rate of the target wireless communication device in the same frequency band; (5) Optimize the target based on the simulation results.

2. The method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping according to claim 1, characterized in that, In step (1) The transplant factor is defined as: Among them, G link =P tx +G tx +G rx -L rf P tx For transmission power, G tx For the transmit antenna gain, G rx For the receiving antenna gain, L rf For RF front-end insertion loss; The distance factor is defined as: Among them, path loss D dist Where f is the communication distance, and L is the operating frequency. env For environmental losses, c = 3 × 10 8 m / s; The recurrence factor is defined as: Where, N retry This refers to the number of retransmissions recorded in the protocol log. The bandwidth factor is in exponential form and is defined as follows: Among them, BW tgt and BW src These are the bandwidths of the target device and the source device, respectively.

3. The method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping according to claim 2, characterized in that, Parameter P tx G tx G rx ,L rf : Obtained through equipment specifications or RF testing; f: Determined based on protocol channel (e.g., IEEE 802.11); BW: Extracted from device configuration; D dist : Obtained through on-site measurements; N retry Extract from MAC layer protocol logs; F trans Based on link gain difference; F dist Based on the free space path loss formula, combined with measured L env ;F retry Based on retransmission count; F BW Based on the exponential bandwidth effect.

4. The method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping according to claim 1, characterized in that, The performance prediction formula in step (3) is: Delay model formula: D tgt =D src ·(1+k d ·(1-F trans )+k dd ·(F dist -1)+k dd2 ·(F dist -1) 2 +k dr ·(F retry -1)+k db ·(1-F BW )) Packet loss rate model formula: Throughput model formula: T tgt =T src ·F BW ·(1-k t ·(1-F trans )-k td ·(F dist -1)-k tr ·(F retry -1))。 5. The method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping according to claim 4, characterized in that, In step (3), more than 10 source-target device pairs are acquired, covering different G... link D dist N retry BW; The independent variable is: X1 = 1 - F trans X2 = F dist -1,X3=F retry -1,X4=(F dist -1) 2 X5 = 1 - F BW ; Dependent variable: Fit using the least squares method: k = (X) T X) -1 X T Y.

6. A method for extrapolating the same-frequency performance of wireless communication devices based on factor mapping, as described in claim 1, is characterized in that... In step (5), the target optimization based on the deduction results specifically involves: increasing P. tx Or optimize antenna design to improve G link Or adjust the protocol parameters.

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