DocumentCode :
3246077
Title :
Utility-Based Resource Allocation for Layer-Encoded IPTV Multicast in IEEE 802.16 (WiMAX) Wireless Networks
Author :
Wen-Hsing Kuo ; Tehuang Liu ; Wanjiun Liao
Author_Institution :
Nat. Taiwan Univ. Taipei, Taipei
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1754
Lastpage :
1759
Abstract :
In this paper, we propose a utility-based resource allocation scheme for layer-encoded IPTV multicast streaming service over IEEE 802.16 WiMAX networks. Unlike existing utility-based schemes, this mechanism is designed for wireless networks which support adaptive modulation and coding. Each video stream (or program) is encoded into different layers. Then, our mechanism adjusts the number of each user´s received layers dynamically according to its channel condition and the available network bandwidth, so as to maximize total utility. We prove that this problem is NP-hard, and show that our scheme is bounded in performance to the optimal solution and can run in polynomial time. The simulation results show that this scheme can allocate resource flexibly according to the utility function of each program, the popularity of each program (i.e., the number of users receiving each program), and the amount of total available resource in the network. The result also shows that the fairness of the system can be guaranteed.
Keywords :
IP networks; WiMax; adaptive codes; communication complexity; digital television; multicast communication; resource allocation; television networks; video coding; video streaming; wireless channels; IEEE 802.16 WiMAX network; NP-hard problem; adaptive coding; adaptive modulation; layer-encoded IPTV multicast streaming service; utility-based resource allocation scheme; video encoding; video streaming; wireless channel condition; Adaptive systems; Bandwidth; Communications Society; IPTV; Modulation coding; Multiaccess communication; Resource management; Streaming media; WiMAX; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2007. ICC '07. IEEE International Conference on
Conference_Location :
Glasgow
Print_ISBN :
1-4244-0353-7
Type :
conf
DOI :
10.1109/ICC.2007.293
Filename :
4288964
Link To Document :
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