Optimal transmission policy for energy-harvesting powered MIMO multi-access channels

Abstract

This paper develops a novel approach to obtaining the optimal scheduling strategy in a multi-input multi-output (MIMO) multi-access channel (MAC), where each transmitter is powered by harvesting energy from the environmental sources. Relying on the convex optimization tools, the proposed approach provides a low-complexity iterative block coordinate ascent algorithm to obtain the optimal transmission policy that maximizes the weighted sum-throughput for MIMO MAC. The proposed approach provides optimal benchmarks for all practical schemes in energy-harvesting powered MIMO MAC transmissions.