Abstract
In this paper, we propose an iterative transceiver design algorithm for opportunistic interference alignment in MIMO interfering multiple-access channels. The proposed algorithm iteratively optimizes the transmit beamforming vectors, the receive matrices and the user selection set, which digs into the multiuser diversity gain. Specifically, data transmission can be operated in each iteration using the updated transceiver and the selected user set, which means that no additional processing delay is introduced. Simulation results demonstrate the improved average rate per cell performance of the proposed algorithm compared to the conventional ones. Index Terms—Interference alignment, OIA, user scheduling, iterative
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