Energy Efficiency Maximization via Joint Beamforming and Power Control for URLLC Service in Network-Assisted Full Duplex Systems

This paper considers a resource allocation problem of ultra reliable low-latency communication (URLLC) for MIMO Network-Assisted Full Duplex (NAFD) systems. Our primary aim is to maximize the system energy efficiency (EE) through joint downlink (DL) beamforming and uplink (UL) power control, subject to quality-of-service constraints and power constraints. Due to the non-convexity of the optimization problem, it is very hard to obtain the global optimal solution. Thus, we propose a low computational complexity algorithm to find the suboptimal solution of the problem. Simulation results show that the proposed algorithm can converge fast and significantly improve the EE for the NAFD-URLLC system.