Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint
Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Yongyun Choi, and Junil Choi

TL;DR
This paper introduces a simple, flexible beamforming method called complete power reallocation (CPR) for MU-MIMO systems under per-antenna power constraints, achieving high performance with linear operations.
Contribution
It presents a novel CPR approach that simplifies beamformer design under PAPC, with variations tailored for convergence speed, sum-rate maximization, and robustness.
Findings
CPR achieves excellent performance with linear operations.
Variations of CPR effectively address different design goals.
Simulation results confirm the effectiveness and flexibility of CPR.
Abstract
This paper proposes a beamforming method under a per-antenna power constraint (PAPC). Although many beamformer designs with the PAPC need to solve complex optimization problems, the proposed complete power reallocation (CPR) method can generate beamformers with excellent performance only with linear operations. CPR is designed to have a simple structure, making it highly flexible and practical. In this paper, three CPR variations considering algorithm convergence speed, sum-rate maximization, and robustness to channel uncertainty are developed. Simulation results verify that CPR and its variations satisfy their design criteria, and, hence, CPR can be readily utilized for various purposes.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Analysis · Energy Harvesting in Wireless Networks
