Title
Optimized Opportunistic Multicast Scheduling over Cellular Networks
Abstract
The design of optimal opportunistic multicast scheduling (OMS) that maximizes the throughput of cellular networks is investigated. In a cellular network, the base station (BS) transmits the same information to multiple users within a cell. Recently, Gopala et al. proposed a median-user static OMS scheme in which a BS selects and broadcasts to the best 50% users in each transmission until all users are served. This scheduling scheme has been shown to exploit both the multiuser diversity and the multicasting gain simultaneously. In this work, we examine the optimal user selection ratio in each transmission. Based on extreme value theory, we first derive the limiting distribution of the maximum decodable rate of the M-th best user and the corresponding average number of transmissions required to serve all users. Then, the optimal selection ratio is established by maximizing the average network throughput. Furthermore, a dynamic selection algorithm is proposed to adjust the user selection ratio adaptively in each transmission. It is shown by simulation results that the OMS scheme with optimized static and dynamic selected ratios outperform the conventional unicast, multicast and the median-user static OMS schemes.
Year
DOI
Venue
2008
10.1109/GLOCOM.2008.ECP.795
GLOBECOM
Keywords
Field
DocType
optimisation,multicasting gain,cellular radio,multiuser diversity gain,dynamic selection algorithm,optimal user selection ratio,optimized opportunistic multicast scheduling,cellular networks,extreme value theory,multicast communication,gain,indexing terms,base station,dynamic scheduling,unicast,signal to noise ratio,simulation,throughput,cellular network
Base station,Computer science,Scheduling (computing),Selection algorithm,Computer network,Real-time computing,Cellular network,Unicast,Throughput,Multicast,Dynamic priority scheduling,Distributed computing
Conference
ISSN
ISBN
Citations 
1930-529X
978-1-4244-2324-8
20
PageRank 
References 
Authors
1.46
4
3
Name
Order
Citations
PageRank
Tze-ping Low1816.38
Man-On Pun272247.90
C.-C. Jay Kuo37524697.44