Sum-Rate-Driven Energy Efficiency Optimization in Massive MIMO Relay Networks

摘要

In this paper, we address the problem of energy-efficient resource allocation in two-hop massive multiple-input multiple-output (MIMO) decode-and-forward relay networks, which accounts for the improved power consumption model and imperfect instantaneous channel state information. We formulate an energy efficiency (EE) maximization problem while ensuring system sum rate requirement. The problem which maximizes EE by jointly optimizing user-pairs as well as power allocation at both users and the relay turns out to be a mixed integer non-convex problem that is nontrivial to solve. The new scheme decomposes the original challenge into two subproblems, and solve them iteratively based on successive approximation. Numerical studies are conducted to illustrate the impacts of different parameters on EE and sum rate, and performance evaluations are presented to demonstrate the effectiveness of the proposed scheme compared with other schemes.