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Weighted sum rate maximization of MISO interference broadcast channels via difference of convex functions programming: A large system analysis | IEEE Conference Publication | IEEE Xplore

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)...Show More

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.
Date of Conference: 26-29 June 2016
Date Added to IEEE Xplore: 25 August 2016
ISBN Information:
Conference Location: Palma de Mallorca, Spain

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