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Weighted fair multicast multigroup beamforming under per-antenna power constraints
(Signal Processing)ORCID iD: 0000-0003-2298-6774
2014 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 62, no 19, 5132-5142 p.Article in journal (Refereed) Published
Abstract [en]

A multiantenna transmitter that conveys independent sets of common data to distinct groups of users is considered. This model is known as physical layer multicasting to multiple cochannel groups. In this context, the practical constraint of a maximum permitted power level radiated by each antenna is addressed. The per-antenna power constrained system is optimized in a maximum fairness sense with respect to predetermined quality of service weights. In other words, the worst scaled user is boosted by maximizing its weighted signal-to-interference plus noise ratio. A detailed solution to tackle the weighted max-min fair multigroup multicast problem under per-antenna power constraints is therefore derived. The implications of the novel constraints are investigated via prominent applications and paradigms. What is more, robust per-antenna constrained multigroup multicast beamforming solutions are proposed. Finally, an extensive performance evaluation quantifies the gains of the proposed algorithm over existing solutions and exhibits its accuracy over per-antenna power constrained systems.

Place, publisher, year, edition, pages
IEEE Press, 2014. Vol. 62, no 19, 5132-5142 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-163728DOI: 10.1109/TSP.2014.2345340Scopus ID: 2-s2.0-84906860900OAI: oai:DiVA.org:kth-163728DiVA: diva2:1082083
Note

QC 20170322

Available from: 2017-03-15 Created: 2017-03-15 Last updated: 2017-05-23Bibliographically approved

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