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Precoded opportunistic multiuser detection

Authors: Nirul Kumar; Aditya Trivedi;

Precoded opportunistic multiuser detection

Abstract

In this paper, we study multi-user multi-input-multi-output (MU-MIMO) wireless system for spectrum sharing over a limited bandwidth, in which transmit covariance matrices of the coexisting users independently updated in an iterative manner for individual rate maximization. This problem was solved in the literature by an advanced decoding method, in which every user opportunistically cancels the co-channel interference from the coexisting users using multiuser detection techniques, hence termed opportunistic multiuser detection (OMD). This paper also studies the signal-to-leakage-plus-noise ratio (SLNR) based precoding for MU-MIMO channels based on OMD. SLNR improves as interference mitigates due to use of precoding in OMD. Simulation results show the achievable throughput gains of precoded OMD over the conventional single-user decoding (SUD) and plain OMD.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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