2010
DOI: 10.1007/s11277-010-0092-7
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Multicast Link Adaptation in Reliable Transmission Over Geostationary Satellite Networks

Abstract: The exploitation of fluctuating channel conditions in link adaption techniques for unicast transmission has been shown to provide large system capacity gains. However, the problem of choosing transmission rates for multicast transmission has not been thoroughly investigated. In this paper, we investigate multicast adaptive techniques for reliable data delivery in GEO satellite networks. An optimal multicast link adaptation is proposed with the aim to maximise terminal throughput whilst increasing resource util… Show more

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Cited by 15 publications
(8 citation statements)
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“…To overcome this limitation, the opportunistic approach [16] endeavors to serve, in any given time slot, only a portion of multicast users in order to maximize a given objective function, such as system throughput. The goal of this approach, named Multicast Link Adaptation (MLA) [12], is to exploit the multi-user diversity in the resource allocation process, although it may limit the multicast gain, i.e., the number of users successfully served in each time slot. As a consequence, additional data coding (e.g., rateless codes) is required for ensuring the users keep the transmitter informed of which portion of file is received.…”
Section: Related Workmentioning
confidence: 99%
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“…To overcome this limitation, the opportunistic approach [16] endeavors to serve, in any given time slot, only a portion of multicast users in order to maximize a given objective function, such as system throughput. The goal of this approach, named Multicast Link Adaptation (MLA) [12], is to exploit the multi-user diversity in the resource allocation process, although it may limit the multicast gain, i.e., the number of users successfully served in each time slot. As a consequence, additional data coding (e.g., rateless codes) is required for ensuring the users keep the transmitter informed of which portion of file is received.…”
Section: Related Workmentioning
confidence: 99%
“…Then, eq. (10) can be recast in the form: Hence, the MS-MSI optimization problem can be written as follows: (12) subject to constraints (4a)-(4e), (5), and (6).…”
Section: ) Multicast Subgrouping Maximum Satisfaction Index (Ms-msi)mentioning
confidence: 99%
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