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dc.creatorMatskani, E.en
dc.creatorSidiropoulos, N. D.en
dc.creatorLuo, Z. Q.en
dc.creatorTassiulas, L.en
dc.date.accessioned2015-11-23T10:39:04Z
dc.date.available2015-11-23T10:39:04Z
dc.date.issued2009
dc.identifier10.1109/tsp.2009.2026621
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11615/30783
dc.description.abstractWireless multicasting is becoming increasingly important for efficient distribution of streaming media and location-aware services to mobile and hand-held devices, network management, and software updates over cellular (UMTS-LTE) and indoor/outdoor wireless networks (e. g., 802.11/16). Multicast beamforming was recently proposed as a means of exploiting the broadcast nature of the wireless medium to boost spectral efficiency and meet Quality of Service (QoS) requirements. Infeasibility is a key issue in this context, due to power or mutual interference limitations. We therefore consider the joint multicast beamforming and admission control problem for one or more co-channel multicast groups, with the objective of maximizing the number of subscribers served and minimizing the power required to serve them. The problem is NP-hard even for an isolated multicast group and no admission control; but drawing upon our earlier work for the multiuser SDMA downlink, we develop an efficient approximation algorithm that yields good solutions at affordable worst-case complexity. For the special case of an isolated multicast, Lozano proposed a particularly simple adaptive algorithm for implementation in UMTS-LTE. We identify strengths and drawbacks of Lozano's algorithm, and propose two simple but worthwhile improvements. All algorithms are carefully tested on publicly available indoor/outdoor measured channel data.en
dc.source.uri<Go to ISI>://WOS:000271958600023
dc.subjectAdmission controlen
dc.subjectbeamformingen
dc.subjectconvex approximationen
dc.subjectE-MBMSen
dc.subjectmulticastingen
dc.subjectNP-harden
dc.subjectUMTS-LTEen
dc.subjectEngineering, Electrical & Electronicen
dc.titleEfficient Batch and Adaptive Approximation Algorithms for Joint Multicast Beamforming and Admission Controlen
dc.typejournalArticleen


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