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Efficient resource utilization for multi-flow wireless multicasting transmissions.

Tu, Wanqing

Authors

Wanqing Tu

Abstract

Wireless multimedia services are major applications of next generation wireless networks. This paper is one of the first to study the efficient utilization of network resources for increasing the number of concurrent multimedia flows when a channel becomes saturated. We theoretically study the flow scheduling policy and the channel aggregation policy in both single-hop and multi-hop wireless networks with the motivation of ameliorating the trade-off between limited channel resources and multiple flow transmission. To increase the number of performance guaranteed multimedia flows, based on the dynamic states of wireless channels and the profiles of multimedia flows, the two policies fully utilize the performance gap to schedule concurrent flows for transmission in turn and aggregate multiple channels' residual capacities for useful flow transmissions. We then design a novel algorithm - efficient multi-flow multicast transmission (EMMT) - to apply the proposed policies to practical wireless multimedia multicast applications. At last, we use ns2 simulations to evaluate the studied policies and the EMMT algorithm. Our simulation results prove the effectiveness of our schemes in improving network ability to admit more multimedia flows.

Journal Article Type Article
Publication Date Aug 1, 2012
Journal IEEE journal on selected areas in communications
Print ISSN 0733-8716
Electronic ISSN 1558-0008
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 30
Issue 7
Pages 1246-1258
Institution Citation TU, W. 2012. Efficient resource utilization for multi-flow wireless multicasting transmissions. IEEE journal on selected areas in communications [online], 30(7), pages 1246-1258. Available from: https://doi.org/10.1109/JSAC.2012.120810
DOI https://doi.org/10.1109/JSAC.2012.120810
Keywords Multimedia communication; Wireless networks; Delay; Algorithm design and analysis; Resource management; Interference

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