Multiple UAV-Borne IRS-Aided Millimeter Wave Multicast Communications: A Joint Optimization Framework

In this letter, we design a resource allocation algorithm for communications in millimeter wave (mmWave) multicast systems adopting multiple unmanned aerial vehicle (UAV)-borne intelligent reflecting surfaces (IRSs). Considering the effect of blockages buildings, jointly optimize placement UAVs and beamforming at ground base station (BS) passive UAV-borne IRSs maximizing minimum rate user clusters. For handling non-convex optimization problem, firstly, employ simulated annealing (SA)-based hybrid particle swarm (HPSO) to deployment average achievable rate. Then, propose penalty-based block coordinate descent (BCD) active instantaneous Simulation results validate efficiency our proposed joint framework.