Performance Analysis of IRS Assisted Full-Duplex Systems With Different Downlink and Uplink Users

Abstract

In this work, we investigate a full-duplex network assisted by an intelligent reflecting surface (IRS) involving both downlink (DL) and uplink (UL) users in the same frequency band with best user selection. The IRS is partitioned into two zones to cater to each of DL and UL users. Our analysis incorporates factors such as residual self-interference, co-channel interference, and hardware imperfections, considering a direct link over generalized Nakagami-m fading channels. We derive analytical expressions for outage probability (OP), system outage probability (SOP), and ergodic rate. We also investigate the joint allocation of element splitting between the zones, user power allocations, and reflection amplitude with SOP minimization and ergodic sum rate maximization as objectives. Extensive Monte-Carlo simulations are conducted to validate the analytical expressions. IEEE