Capacity-Fairness Tradeoff for Optimal Power Allocation in Cluster-wise MU-MIMO System

Abstract

The cluster-wise multi-user multi-input multi-output (MU-MIMO), division of the ultra-dense network in the beyond fifth-generation (B5G) system into several small-scale MU-MIMO, is an effective way to reduce the computational complexity of the system operations. Reasonable power allocation is excepted for the improvement of system performance by adjusting the inter-cluster-interference. In this paper, we consider an optimal power allocation (OPA) method to realize the flexible tradeoff between sum capacity maximization and user fairness maximization while guaranteeing the minimum user capacity under the total transmit power constraint to meet the needs of different application scenarios. The simulation results verify that the proposed OPA method can effectively adjust the tradeoff between sum capacity and user fairness.