Full-Duplex MIMO-OFDM Communication with Self-Energy Recycling

TL;DR

This paper introduces a novel energy recycling approach in full-duplex MIMO-OFDM relaying systems, optimizing power allocation to enhance spectral efficiency while efficiently harvesting energy from self-interference.

Contribution

It proposes a new path-following algorithm with closed-form calculations for optimal power allocation in large-scale nonconvex problems in FD MIMO-OFDM systems.

Findings

High spectral efficiency achieved in simulations

Efficient convergence of the proposed algorithm

Effective energy harvesting from self-interference

Abstract

This paper focuses on energy recycling in full-duplex (FD) relaying multiple-input-multiple-output orthogonal frequency division multiplexing (OFDM) communication. The loop self-interference (SI) due to full-duplexing is seen as an opportunity for the energy-constrained relay node to replenish its energy requirement through wireless power transfer. In forwarding the source information to the destination, the FD relay can simultaneously harvest energy from the source wireless transmission and also through energy recycling from its own transmission. The objective is to maximize the overall spectral efficiency by designing the optimal power allocation over OFDM sub-carriers and transmit antennas. Due to a large number of sub-carriers, this design problem poses a large-scale nonconvex optimization problem involving a few thousand variables of power allocation, which is very computationally challenging. A new path-following algorithm is proposed, which converges to an optimal solution. This algorithm is very efficient since it is based on \textit{closed-form} calculations. Numerical results for a practical simulation setting show promising results by achieving high spectral efficiency.