车联网环境下可重构智能反射面辅助无线信道估计算法

doi:10.11959/j.issn.1000-436x.2022150

Abstract

Abstract:

Aiming at the problem that multi-user channel estimation assisted by reconfigurable intelligent surface (RIS) in the uplink Internet of vehicles environment, a location assisted compressive sensing channel estimation algorithm was proposed.Based on the location information of the communication equipment, a single RIS-assisted single-user communication model was built, and the optimal phase shift matrix was derived according to the logical relationship between the beam angle of departure (AOD) and the angle of arrival (AOA).The perception matrix was constructed and channel estimation was performed, and finally it was extended to multi-user scenarios and solved iteratively.The optimal RIS phase shift matrix was solved based on the position information obtained by the Internet of vehicles technology, which reduced the additional training overhead of the channel and further reduces the complexity of the channel estimation.Simulation results show that the proposed algorithm based on location information has high channel estimation performance.

Key words: reconfigurable intelligent surface, Internet of vehicles, channel estimation, compressed sensing algorithm, beamforming

CLC Number:

TN92

Rong ZENG, Xiao HANG. Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment[J]. Journal on Communications, 2022, 43(8): 142-150.

Figures/Tables 8

参数	数值
发射天线数	N_t = 1
接收天线数	M =16
RIS反射单元数	N=256
发射用户数量	K=16
发射端-RIS路径损耗	$\| α^{t} \| = 10^{- 3} d_{UR}^{- 2.2}$
RIS-接收端路径损耗	$\| α^{G} \| = 10^{- 3} d_{RB}^{- 2.8}$
AOA范围	$[- \frac{π}{2}, \frac{π}{2}]$
AOD范围	$[- \frac{π}{2}, \frac{π}{2}]$
蒙特卡罗仿真次数	1 000

References 18

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信道估计算法	时间/s
LACSCE算法	0.036 270
传统OMP算法	0.053 092
位置误差LACSCE算法	0.044 523
基于CVX工具箱	4.877 146

Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment

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