Distributed Power Control in Multiuser MIMO Networks with Optimal Linear Precoding

TL;DR

This paper proposes a distributed power control method for multiuser MIMO networks using optimal linear precoding and contractive interference functions, enhancing convergence and allowing asynchronous implementation.

Contribution

It introduces a novel application of contractive interference functions to MIMO power control with optimal precoding, improving convergence and flexibility.

Findings

Higher likelihood of unique Nash equilibria.

Enhanced convergence performance in MIMO power control.

Asynchronous implementation feasible with the proposed method.

Abstract

Contractive interference functions introduced by Feyzmahdavian et al. is the newest approach in the analysis and design of distributed power control laws. This approach can be extended to several cases of distributed power control. One of the distributed power control scenarios wherein the contractive interference functions have not been employed is the power control in MIMO systems. In this paper, this scenario will be analyzed. In addition, the optimal linear precoder is employed in each user to achieve maximum point-to-point information rate. In our approach, we use the same amount of signaling as the previous methods did. However, we show that the uniqueness of Nash equilibria is more probable in our approach, suggesting that our proposed method improves the convergence performance of distributed power control in MIMO systems. We also show that the proposed power control algorithm can be implemented asynchronously, which gives a noticeable flexibility to our algorithm given the practical communication limitations.