Orthogonalization to Reduce Interference Alignment Overhead in the MIMO Interference Channel

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Interference channels are useful analytical models for distributed wireless communication networks with multiple simultaneously transmitting users. The degrees-of-freedom optimal transmit strategy for interference channels are interference alignment, which requires substantial channel state knowledge throughout the network. As the network grows, the sum capacity, theoretically, increases linearly. This result, however, neglects overhead from training and feedback. This paper accounts for overhead in the MIMO constant-coefficient interference channel with linear precoding and proposes an orthogonalization approach to maximizing sum throughput when overhead is considered.