Optimizations with Reconfigurable Intelligent Surfaces (RISs) in 6G Wireless Networks: Power Control, Quality of Service, Max-Min Fair Beamforming for Unicast, Broadcast, and M
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Reconfigurable intelligent surfaces (RISs) have received much attention recently and are envisioned to promote 6G communication networks. In this paper, for wireless communication aided by RIS units, we formulate optimization problems for power control under quality of service (QoS) and max-min fair QoS under three kinds of traffic patterns from a base station (BS) to mobile users (MUs): unicast, broadcast, and multicast. The optimizations are achieved by jointly designing the transmit beamforming of the BS and the phase shift matrix of the RIS. For power control under QoS, existing RIS studies in the literature address only the unicast setting, whereas no RIS work has considered max-min fair QoS. Furthermore, we extend our above optimization studies to the novel settings of multi-antenna mobile users or/and multiple reconfigurable intelligent surfaces. For all the above optimizations, we provide detailed analyses to propose efficient algorithms. To summarize, our paper presents a comprehensive study of optimization problems involving power control, QoS, and fairness in wireless networks enhanced by RISs.
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