Balancing Weighted Substreams in MIMO Interference Channels

TL;DR

This paper introduces a distributed power control algorithm for MIMO interference channels that minimizes power while satisfying weighted SINR constraints, ensuring convergence to a unique solution.

Contribution

It combines a classic distributed power control method with a linear search for SINR targets to effectively balance substreams in MIMO interference channels.

Findings

Algorithm guarantees linear convergence to a fixed point.

Effectively minimizes power under weighted SINR constraints.

Applicable to distributed MIMO interference systems.

Abstract

Substreams refer to the streams of each user in a system. Substream weighting, where the weights determine the prioritization order, can be important in multiple-input multiple-output interference channels. In this letter, a distributed algorithm is proposed for the problem of power minimization subject to weighted SINR constraint. The algorithm is based on two basic features, the well known distributed power control algorithm by Yates in 1995 and a simple linear search to find feasible SINR targets. The power control law used in the proposed algorithm is proven to linearly converge to a unique fixed-point.