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Distributed Interference Alignment for Mobile MIMO Systems Based on Local CSI
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AI
DOI：10.1109/LCOMM.2014.2325024.png)
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摘要
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The requirement for global channel state information (CSI) throughout the network is a significant hurdle to overcome in interference alignment (IA) technologies for mobile applications. In this letter, a distributed IA algorithm is proposed that uses local CSI at the receivers to determine desirable precoding matrices for all interfering transmitters. These matrices are fed back to the transmitters where they are combined, using scalar weighting, to determine the next set of transmit precoding matrices. Results herein show that, with equivalent feedback limitations, the proposed algorithm provides better SINR performance than an IA algorithm requiring full CSI-based feedback, due to the smaller dimensions of the precoding matrices.
Keyword:
MIMO
interference alignment
limited feedback
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4.4
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1.3W
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2.2W
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