Reference : Weighted Fair Multicast Multigroup Beamforming Under Per-antenna Power Constraints

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/19953

Title :	Weighted Fair Multicast Multigroup Beamforming Under Per-antenna Power Constraints
Language :	English
Author, co-author :	Christopoulos, Dimitrios [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Jun-2014
Main document title :	Multicast multigroup beamforming under per-antenna power constraints
Publisher :	IEEE
Pages :	4704-4710
Peer reviewed :	Yes
Audience :	International
Event name :	Communications (ICC), 2014 IEEE International Conference on
Event date :	from 10-06-2014 to 14-06-2014
Event place (city) :	Sydney
Event country :	Australia
Keywords :	[en] antenna arrays ; array signal processing ; minimax techniques ; multicast communication
Abstract :	[en] Linear precoding exploits the spatial degrees of freedom offered by multi-antenna transmitters to serve multiple users over the same frequency resources. The present work focuses on simultaneously serving multiple groups of users, each with its own channel, by transmitting a stream of common symbols to each group. This scenario is known as physical layer multicasting to multiple co-channel groups. Extending the current state of the art in multigroup multicasting, the practical constraint of a maximum permitted power level radiated by each antenna is tackled herein. The considered per antenna power constrained system is optimized in a maximum fairness sense. In other words, the optimization aims at favoring the worst user by maximizing the minimum rate. This Max-Min Fair criterion is imperative in multicast systems, where the performance of all the receivers listening to the same multicast is dictated by the worst rate in the group. An analytic framework to tackle the Max-Min Fair multigroup multicasting scenario under per antenna power constraints is therefore derived. Numerical results display the accuracy of the proposed solution and provide insights to the performance of a per antenna power constrained system.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/19953
DOI :	10.1109/TSP.2014.2345340

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