论文标题

RIS辅助的车辆网络,通过双重将伽马褪色渠道直接传输

RIS-Assisted Vehicular Network with Direct Transmission over Double-Generalized Gamma Fading Channels

论文作者

Chapala, Vinay Kumar, Malik, Arsalan, Zafaruddin, S. M.

论文摘要

当直接传输变得明显较弱,而在接入点和移动车辆之间的动态通道条件下,可重新配置的智能表面(RIS)可以为车辆通信提供稳定的连接性。在本文中,我们通过将RIS元素反映的收到的信号连贯地结合了RIS辅助的车辆网络的性能,并通过双重概括(DGG)褪色频道直接从源终端传输。我们通过得出端到端信噪比(SNR)的精确密度和分布函数(SNR)的确切密度和分布函数(由通道系数的直接链接和乘积乘积)介绍了端到端信噪比(SNR)的确切密度和分布函数,从而对所考虑系统的中断概率和平均比特率率(BER)表达进行分析表达式。我们还对停电概率和平均BER进行了渐近分析,以得出多样性顺序,以更好地了解高SNR的系统性能。我们通过数值和仿真结果验证了派生的分析表达式,并通过RIS元素证明了系统性能的缩放,并与常规的继电器技术进行了比较,并在考虑各种相关方案的情况下进行了直接传输。

Reconfigurable intelligent surface (RIS) can provide stable connectivity for vehicular communications when direct transmission becomes significantly weaker with dynamic channel conditions between an access point and a moving vehicle. In this paper, we analyze the performance of a RIS-assisted vehicular network by coherently combining received signals reflected by RIS elements and direct transmissions from the source terminal over double generalized Gamma (dGG) fading channels. We present analytical expressions on the outage probability and average bit-error rate (BER) performance of the considered system by deriving exact density and distribution functions for the end-to-end signal-to-noise ratio (SNR) resulted from the finite sum of the direct link and product of channel coefficients each distributed according to the dGG. We also develop asymptotic analysis on the outage probability and average BER to derive diversity order for a better insight into the system performance at high SNR. We validate the derived analytical expressions through numerical and simulation results and demonstrate scaling of the system performance with RIS elements and a comparison to the conventional relaying techniques and direct transmissions considering various practically relevant scenarios.

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