A Near-optimal User Ordering Algorithm for Non-iterative Interference Alignment Transceiver Design in MIMO Interfering Broadcast Channels

TL;DR

This paper proposes a suboptimal user ordering algorithm for non-iterative interference alignment in MIMO interfering broadcast channels, improving performance with manageable complexity by exploiting user permutation flexibility.

Contribution

It introduces a novel suboptimal user ordering algorithm that enhances non-iterative IA transceiver design in MIMO-IBC, balancing performance and computational complexity.

Findings

Achieves near-optimal performance with moderate complexity

Exploits user permutation flexibility in IA design

Improves practical transceiver performance in MIMO-IBC

Abstract

Interference alignment (IA) has recently emerged as a promising interference mitigation technique for interference networks. In this letter, we focus on the IA non-iterative transceiver design problem in a multiple-input-multiple-output interfering broadcast channel (MIMO-IBC), and observed that there is previously unexploited flexibility in different permutations of user ordering. By choosing a good user ordering for a pre-determined IA inter-channel-interference allocation, an improved transceiver design can be accomplished. In order to achieve a more practical performance-complexity tradeoff, a suboptimal user ordering algorithm is proposed. Simulation shows the proposed suboptimal user ordering algorithm can achieve near-optimal performance compared to the optimal ordering while exhibiting only moderate computational complexity.