Joint Antenna Selection and Spatial Switching for Energy Efficient MIMO SWIPT System

TL;DR

This paper proposes a joint antenna selection and spatial switching approach to optimize energy efficiency in MIMO SWIPT systems, addressing complex non-convex problems with practical algorithms and demonstrating significant improvements through simulations.

Contribution

It introduces a novel joint optimization framework for antenna selection and eigen-channel assignment in MIMO SWIPT systems, with practical algorithms for EE maximization.

Findings

Proposed algorithms efficiently approach optimal energy efficiency.

Trade-offs between sum-rate, power transfer, and power consumption are characterized.

Simulation results validate the effectiveness of the resource allocation methods.

Abstract

In this paper, we investigate joint antenna selection and spatial switching (SS) for quality-of-service (QoS)-constrained energy efficiency (EE) optimization in a multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system. A practical linear power model taking into account the entire transmit-receive chain is accordingly utilized. The corresponding fractional-combinatorial and non-convex EE problem, involving joint optimization of eigen-channel assignment, power allocation, and active receive antenna set selection, subject to satisfying minimum sum-rate and power transfer constraints, is extremely difficult to solve directly. In order to tackle this, we separate the eigen-channel assignment and power allocation procedure with the antenna selection functionality. In particular, we first tackle the EE maximization problem under fixed receive antenna set using Dinkelbach-based convex programming, iterative joint eigen-channel assignment and power allocation, and low-complexity multi-objective optimization (MOO)-based approach. On the other hand, the number of active receive antennas induces a trade-off in the achievable sum-rate and power transfer versus the transmit-independent power consumption. We provide a fundamental study of the achievable EE with antenna selection and accordingly develop dynamic optimal exhaustive search and Frobenius-norm-based schemes. Simulation results confirm the theoretical findings and demonstrate that the proposed resource allocation algorithms can efficiently approach the optimal EE.