Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

TL;DR

This paper introduces a pattern design framework for reconfigurable MIMO systems that maximizes channel capacity by optimizing correlation and power allocation, bridging electromagnetics and communications.

Contribution

It proposes a novel two-step pattern design method for PR-MIMO that enhances capacity, integrating correlation modification and power allocation strategies.

Findings

Significant capacity improvements over legacy MIMO systems.

Effective eigenvalue-based correlation optimization.

Closed-form power allocation scheme enhances channel quality.

Abstract

In this paper, we focus on the pattern reconfigurable multiple-input multiple-output (PR-MIMO), a technique that has the potential to bridge the gap between electro-magnetics and communications towards the emerging Electro-magnetic Information Theory (EIT). Specifically, we focus on the pattern design problem aimed at maximizing the channel capacity for reconfigurable MIMO communication systems, where we firstly introduce the matrix representation of PR-MIMO and further formulate a pattern design problem. We decompose the pattern design into two steps, i.e., the correlation modification process to optimize the correlation structure of the channel, followed by the power allocation process to improve the channel quality based on the optimized channel structure. For the correlation modification process, we propose a sequential optimization framework with eigenvalue decomposition to obtain near-optimal solutions. For the power allocation process, we provide a closed-form power allocation scheme to redistribute the transmission power among the modified subchannels. Numerical results show that the proposed pattern design scheme offers significant improvements over legacy MIMO systems, which motivates the application of PR-MIMO in wireless communication systems.