Joint Positioning, Beamforming, and Power Allocation in Full-Duplex MIMO with Position-Reconfigurable Antenna Arrays

TL;DR

This paper introduces a joint optimization framework for beamforming, power allocation, and antenna placement in full-duplex MIMO systems with reconfigurable antennas, significantly improving system performance.

Contribution

It proposes a novel joint design and an alternating optimization method for PRA-based MU-FD-MIMO systems, addressing non-convex challenges and demonstrating performance gains.

Findings

Significant performance improvements with reconfigurable antennas.

Effective joint optimization enhances sum-rate in full-duplex MIMO.

Simulation confirms the proposed method's advantages.

Abstract

We consider a multi-user (MU) full-duplex (FD) multiple-input multiple-output (MIMO) communication system, in which the base station transceiver is equipped with transmit and receive position reconfigurable antennas (PRAs) to mitigate both MU-interference (MUI) and self-interference (SI) while enhancing the desired signal quality. We first formulate a joint design of beamforming, transmit power allocation, and antenna placement to maximize the weighted sum-rate of the considered PRA-based MU-FD-MIMO system under the constraints on reconfigurable region size, minimum antenna spacing, and transmit power. To address this highly non-convex problem, we then propose an alternating optimization (AO) framework that decomposes the original problem into subproblems and solves them iteratively. In particular, fractional programming techniques are used to separate the optimization variables from the logarithmic and ratio terms, while the block successive upper bound minimization method handles the non-convexity of PRA placement. Simulation results confirm a significant performance gain when integrating PRAs into the MU-FD-MIMO system and demonstrate the advantage of the proposed optimization framework.