Wireless Information and Energy Transfer for Decode-and-Forward Relaying MIMO-OFDM Networks

TL;DR

This paper explores the achievable rate and optimization of MIMO-OFDM systems with energy harvesting relays, proposing a TSR protocol and an ALPF method to enhance system performance.

Contribution

It introduces a novel TSR protocol for simultaneous energy harvesting and information processing, along with an ALPF-based optimization approach for MIMO-OFDM relay systems.

Findings

Theoretical analysis of achievable rate performance.

ALPF method effectively optimizes system rate.

Simulation results validate analytical and optimization methods.

Abstract

This paper investigates the system achievable rate and optimization for the multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) system with an energy harvesting (EH) relay. Firstly we propose a time switchingbased relaying (TSR) protocol to enable the simultaneous information processing and energy harvesting at the relay. Then, we discuss its achievable rate performance theoretically and formulated an optimization problem to maximize the system achievable rate. As the problem is difficult to solve, we design an Augmented Lagrangian Penalty Function (ALPF) method for it. Extensive simulation results are provided to demonstrate the accuracy of the analytical results and the effectiveness of the ALPF method.