Multi-Objective Beamforming for Energy-Efficient SWIPT Systems

TL;DR

This paper develops a multi-objective optimization framework for energy-efficient SWIPT systems with multiple antennas, balancing information transmission and power transfer efficiency under practical constraints.

Contribution

It introduces a novel multi-objective optimization approach considering circuit power and imperfect CSI, solved via SDP relaxation for energy-efficient SWIPT system design.

Findings

Trade-off between information and power transfer efficiency identified

Multiple antennas improve overall energy efficiency

Proposed method effectively handles practical system constraints

Abstract

In this paper, we study the resource allocation algorithm design for energy-efficient simultaneous wireless information and power transfer (SWIPT) systems. The considered system comprises a transmitter, an information receiver, and multiple energy harvesting receivers equipped with multiple antennas. We propose a multi-objective optimization framework to study the trade-off between the maximization of the energy efficiency of information transmission and the maximization of wireless power transfer efficiency. The proposed problem formulation takes into account the per antenna circuit power consumption of the transmitter and the imperfect channel state information of the energy harvesting receivers. The adopted non-convex multi-objective optimization problem is transformed into an equivalent rank-constrained semidefinite program (SDP) and optimally solved by SDP relaxation. Numerical results unveil an interesting trade-off between the considered conflicting system design objectives and reveal the benefits of multiple transmit antennas for improving system energy efficiency.