Overhead-Aware Distributed CSI Selection in the MIMO Interference Channel

TL;DR

This paper introduces a distributed, overhead-aware method for selecting a subset of channel state information in MIMO interference channels, improving interference management efficiency by balancing CSI accuracy and feedback overhead.

Contribution

It proposes a novel distributed stable matching algorithm for CSI subset selection, optimizing interference management with reduced feedback overhead.

Findings

Performance surpasses full CSI-T schemes.

Outperforms minimal CSI-T approaches.

Effective in reducing feedback overhead while maintaining interference control.

Abstract

We consider a MIMO interference channel in which the transmitters and receivers operate in frequency-division duplex mode. In this setting, interference management through coordinated transceiver design necessitates channel state information at the transmitters (CSI-T). The acquisition of CSI-T is done through feedback from the receivers, which entitles a loss in degrees of freedom, due to training and feedback. This loss increases with the amount of CSI-T. In this work, after formulating an overhead model for CSI acquisition at the transmitters, we propose a distributed mechanism to find for each transmitter a subset of the complete CSI, which is used to perform interference management. The mechanism is based on many-to-many stable matching. We prove the existence of a stable matching and exploit an algorithm to reach it. Simulation results show performance improvement compared to full and minimal CSI-T.