Power Allocation for Precoding in Large-Scale MIMO Systems with Per-Antenna Constraint

TL;DR

This paper investigates suboptimal power allocation methods for ZF and CB precoding in large-scale MIMO systems with per-antenna power constraints, addressing practical implementation challenges.

Contribution

It introduces suboptimal power allocation strategies tailored for large-scale MIMO systems under per-antenna constraints, a problem not thoroughly addressed before.

Findings

Proposes practical suboptimal power allocation methods for ZF and CB precoding.

Provides insights into the performance of these methods under per-antenna constraints.

Offers useful references for real-world large-scale MIMO system design.

Abstract

Large-scale MIMO systems have been considered as one of the possible candidates for the next-generation wireless communication technique, due to their potential to provide significant higher throughput than conventional wireless systems. For such systems, Zero-Forcing (ZF) and Conjugate Beamforming (CB) precoding have been considered as two possible practical spatial multiplexing techniques, and their average achievable sum rates have been derived on the sum power constraint. However, in practice, the transmitting power at a base station is constrained under each antenna. In this case, the optimal power allocation is a very difficult problem. In this paper, the suboptimal power allocation methods for both ZF-based and CB-based precoding in large-scale MIMO systems under per-antenna constraint are investigated, which could provide useful references for practice.