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

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...

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Bibliographic Details
Published in:	2016 IEEE Statistical Signal Processing Workshop (SSP) pp. 1 - 5
Main Authors:	Tabikh, Wassim, Slock, Dirk, Yi Yuan-Wu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2016
Subjects:	beamforming Conferences Interference MISO Precoding random matrix theory Signal to noise ratio System analysis and design weighted sum rate maximization
Online Access:	Get full text
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Summary:	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.
DOI:	10.1109/SSP.2016.7551805