Performance of Multiple IRS-Enabled V2V Communication Over Double Generalized Gamma Fading Channel

Over the past few years, the idea of intelligent reflecting surface (IRS) has drawn a lot of attention as a potential solution for beyond fifth-generation (B5G) communication systems and the sixth-generation (6G) communication networks. It is envisioned that data transmission from the transmitter to the receiver for such highly dynamic systems can be greatly improved by using IRS, a device made of inexpensive meta-surfaces that can reflect the signals in the desired direction. In this paper, we analyze the performance of a multi-IRS-assisted vehicle-to-vehicle (V2V) communication system by considering multiple IRSs between the transmitting and the receiving vehicles. Specifically, performance is evaluated by the selection of the best IRS among the multiple IRSs using the end-to-end instantaneous signal-to-noise ratio (SNR) measure. We derive the approximate closed-form expressions for outage probability (OP) and average symbol error rate (ASER) by considering the independent and non-identically distributed (i.n.i.d) double generalized Gamma (dGG) fading channel. Further, we use Monte-Carlo simulations to validate the accuracy of our theoretical expressions. It is inferred from results that the presence of multiple IRSs and multiple number of IRS elements in each IRS improves the system performance compared to the existing V2V systems reported in the literature.