Low Complexity Opportunistic Interference Alignment in $K$-Transmitter MIMO Interference Channels
Atul Kumar Sinha, A. K. Chaturvedi

TL;DR
This paper introduces low complexity opportunistic interference alignment methods for K-transmitter MIMO channels that leverage multiuser diversity without requiring channel state information at transmitters, maintaining high sum-rate performance.
Contribution
It presents a novel low complexity OIA approach that does not rely on CSI at transmitters, reducing computational load while achieving comparable sum-rate performance.
Findings
Achieves sum-rate comparable to conventional OIA schemes.
Significantly reduces computational complexity.
Operates without channel state information at transmitters.
Abstract
In this paper, we propose low complexity opportunistic methods for interference alignment in -transmitter MIMO interference channels by exploiting multiuser diversity. We do not assume availability of channel state information (CSI) at the transmitters. Receivers are required to feed back analog values indicating the extent to which the received interference subspaces are aligned. The proposed opportunistic interference alignment (OIA) achieves sum-rate comparable to conventional OIA schemes but with a significantly reduced computational complexity.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Technologies
