Unified Opportunistic Scheduling for Layered Multicast over Cognitive Radio Networks

Pavol Polacek, Chih Wei Huang, Jia Wei Chiang

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)


We investigate the multicast of layered multimedia content in single hop cognitive radio (CR) networks and ways of improving the subscriber utility. The proposed unified opportunistic scheduling (UOS) aggressively utilizes diversity potential present in CR by exploiting two types of multiuser diversity (MUD), one between multicast groups and another between data stream subscribers in a group. As a result, the resource usage efficiency is significantly increased, and better utility can be achieved. According to derived effective average subscriber throughput under unified MUD, a scheduling algorithm is designed to approach the theoretical throughput improvement. We specifically introduce controlled competition between multicast groups to balance the increasing resource efficiency and the risk of overstretching the limited available spectrum. The algorithm combines prioritization, rateless coding, and data fragmentation to inherently cope with dynamic spectrum availability in CR. The presented simulation results show improved performance in various situations in comparison to other schemes not taking full advantage of the present MUD potential.

頁(從 - 到)2627-2639
期刊IEEE Transactions on Mobile Computing
出版狀態已出版 - 1 10月 2016


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