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

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