The Capacity Region of the Two-Receiver Gaussian Vector Broadcast Channel With Private and Common Messages

A novel method for establishing the optimality of Gaussian auxiliary random variables in multiterminal information theory problems is developed. This method is then employed to show that Marton's inner bound achieves the capacity region of the two-receiver Gaussian vector broadcast channel with...

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Veröffentlicht in:	IEEE transactions on information theory 2014-04, Vol.60 (4), p.2087-2104
Hauptverfasser:	Yanlin Geng, Nair, Chandra
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Branch & bound algorithms Broadcasting. Videocommunications. Audiovisual channel capacity Covariance matrices Exact sciences and technology Gaussian distribution Gaussian distribution optimality Gaussian noise Information theory Information, signal and communications theory Miscellaneous Multiuser channels Mutual information Normal distribution Optimization Random variables Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Vectors
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Beschreibung
Zusammenfassung:	A novel method for establishing the optimality of Gaussian auxiliary random variables in multiterminal information theory problems is developed. This method is then employed to show that Marton's inner bound achieves the capacity region of the two-receiver Gaussian vector broadcast channel with private and common messages.
ISSN:	0018-9448 1557-9654
DOI:	10.1109/TIT.2014.2304457