Abstract
The vehicle-to-vehicle (V2V) radio channel is non-stationary due to the rapid movement of vehicles. However, the stationarity of the V2V channels is an important indicator of the V2V channel characteristics. Therefore, we analyzed the non-stationarity of V2V radio channels using the local region of stationarity (LRS). We selected seven scenarios, including three directions of travel, i.e., in the same, vertical, and opposite directions, and different speeds and environments in a similar driving direction. The power delay profile (PDP) and LRS were estimated from the measured channel impulse responses. The results show that the most important influences on the stationary times are the direction and the speed of the vehicles. The average stationary times for driving in the same direction range from 0.3207 to 1.9419 s, the average stationary times for driving in the vertical direction are 0.0359–0.1348 s, and those for driving in the opposite direction are 0.0041–0.0103 s. These results are meaningful for the analysis of the statistical characteristics of the V2V channel, such as the delay spread and Doppler spread. Small-scale fading based on the stationary times affects the quality of signals transmitted in the V2V channel, including the information transmission rate and the information error code rate.
Highlights
Accepted: 17 May 2021In the past few years, 5G communication technology has tremendously progressed.Benefiting from the development of 5G communication technology, vehicle-to-vehicle (V2V) communication systems have attracted considerable research interest, with many achievements in this area [1,2]
The results showed that there was an optimal combination of parameters in the local scattering function, and the minimum mean square error (MSE) decreased with the increase in the LSF until it reached a minimum and increased again
For the discrete channel impulse response (CIR), it is expressed as h(iTC, m∆τmin ), and the discrete instantaneous power delay profile (PDP) (IPDP) can be derived as shown in
Summary
The 7th Research Institute of China Electronics Technology Group Corporation, Guangzhou 510310, China School of Communication and Information Engineering, South China University of Technology, Guangzhou 510641, China These authors contributed equally to this work.
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