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Weighted sum rate maximization of MISO interference broadcast channels via difference of convex functions programming: A large system analysis

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2016Publisher:IEEEJournal:2016 IEEE Statistical Signal Processing Workshop (SSP)
Authors: Wassim Tabikh; Dirk Slock; Yi Yuan-Wu;

doi: 10.1109/ssp.2016.7551805

Weighted sum rate maximization of MISO interference broadcast channels via difference of convex functions programming: A large system analysis

Abstract

The weighted sum rate (WSR) maximizing linear precoding algorithm is studied in large correlated multiple-input single-output (MISO) interference broadcast channels (IBC). We consider an iterative WSR design via difference of convex functions (DC) programming as in [1], [2] and [3], focusing on the version in [3]. We propose an asymptotic approximation of the signal-to-interference plus noise ratio (SINR) at every iteration.

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selected citations
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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.
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