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QoE-Aware Proportional Fair Scheduling for Multiuser Multiservice Wireless Networks 被引量:1

QoE-Aware Proportional Fair Scheduling for Multiuser Multiservice Wireless Networks
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摘要 The effective radio resource allocation al-gorithms, which satisfy diversiform requirements of mobile naltimedia services in wireless cellular net-works, have recently attracted more and more at-tention. This paper proposes a service-aware scheduling algorithm, in which the Mean Opinion Score (MOS) is chosen as the unified metric of the Quality of Experience (QoE). As the network needs to provide satisfactory services to all the users, the fairness of QoE should be considered. The Propor- tional Fair (PF) principle is adopted to achieve the trade-off between the network perfonmnce and us- er fairness. Then, an integer progranming problem is formed and the QoE-aware PF scheduling princi-ple is derived by solving the relaxed problem. Simu-lation results show that the proposed scheduling principle can perform better in terms of user fair-ness than the previous principle maximizing the sum of MOS. It also outperfoms the max-rain scheduling principle in terms of average MOS. The effective radio resource allocation algorithms,which satisfy diversiform requirements of mobile multimedia services in wireless cellular networks,have recently attracted more and more attention.This paper proposes a service-aware scheduling algorithm,in which the Mean Opinion Score (MOS) is chosen as the unified metric of the Quality of Experience (QoE).As the network needs to provide satisfactory services to all the users,the fairness of QoE should be considered.The Proportional Fair (PF) principle is adopted to achieve the trade-off between the network performance and user fairness.Then,an integer programming problem is formed and the QoE-aware PF scheduling principle is derived by solving the relaxed problem.Simulation results show that the proposed scheduling principle can perform better in terms of user fairness than the previous principle maximizing the sum of MOS.It also outperforms the max-min scheduling principle in terms of average MOS.
出处 《China Communications》 SCIE CSCD 2012年第9期52-60,共9页 中国通信(英文版)
基金 This paper was supported partially by the Program for New Century Excellent Talents in University under Crant No. NCET-11-0600 the National Natural Science Foundation of China under Crant NN76022 and the France Telecom R & D Beijing Co. Ltd.
关键词 QOE proportional fair SCHEDULING MULTI-SERVICE 无线网络 公平调度 多用户 感知 质量 多业务 比例 无线资源分配
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  • 1SOLDANI D, U M, CUNY R QoS and QoE Managerrent in UMTS Cellular Systems[M].England: John Wiley & Sons Ltd., 2006.
  • 2CHOI L, KEUERER W, STEINBACH E. Cross-layer Optimzation for Wireless Multi-User Video Streanmg[C]//Proceedings of IEEE International Conference on Innge Processing: October 24-27, 2004, Singapore. IEEE Press, 2004: 2047-2050.
  • 3KHAN S, SGROI M, PENG Y, et al. Application-Driven Cross-layer Optimization for Video Streaming over Wireless Networks [J]. IEEE Communications Magazine, 2006, 44 (1): 122-130.
  • 4SAUL A, AUER G. Multiuser Resource Allocation Maximizing the Perceived Quality[J]. EURASIP Journal on Wireless Communications and Networking, 2009, Article ID: 341689.
  • 5International Telecommunication Union. Method for Subjective Determination of Transmission Quality[S]. ITU-T Recormendation P.800, 1996.
  • 6黄晓燕,毛玉明,吴凡,冷甦鹏.基于效用函数的OFDM混合业务资源调度算法[J].计算机应用研究,2009,26(5):1860-1864. 被引量:3
  • 7KHAN S, THAKOLSRI S, STEINBACH E, et al. QoE-Based Cross-layer Optimization for Wireless Multiuser System; [C]// Proceedings of the 18th ITC Specialist Seminar on Quality of Experience, May 2008, Karlskrona, Sweden.
  • 8KHAN S, DUHOVNIKOV S, STEINBACH E, et al. MOS-Based Multiuser Multiapplication Cross-layer Optimization for Mobile Multimedia Communication[J]. Advances in Multirredia, 2007, Article ID: 94918.
  • 9THAKOLSRI S, KHAN S, STEINBACH S, et al. QoE-Driven Cross-layer Optimization for High Speed Downlink Packet Access [J]. Journal of Communications, Special Issue on Multimedia Communications, Networking and Applications, 2009, 14(9): 669-680.
  • 10SAUL A. Wireless Resource Allocation with Perceived Quality Fairness [C]// Proceedings of the 42nd Asilomar Conference on Signals, Systerrs , and Computers: October 26-29, 2008, Pacific Grove, CA, USA. IEEE Press, 2008: 1557-1561.

二级参考文献9

  • 1ZHU H J, HAFEZ R H M. Scheduling schemes for multimedia service in wireless OFDM systems[ J]. Wireless Communications,2007,14 (5) :99-105.
  • 2LETAIEF K B, ZHANG Y J. Dynamic multiuser resource allocation and adaptation for wireless systems [ J ]. IEEE Wireless Gommunications ,2006,13(4) :38-47.
  • 3SONG G, LI Y. Utility-based resource allocation and scheduling in OFDM-based wireless broadband networks [ J ]. IEEE Communications Magazine,2005,43(12) :127-134.
  • 4SONG Guo-cong, LI Ye. Cross-layer optimization for OFDM wireless networks-part Ⅱ: algorithm development[ J ]. IEEE Trans on Wireless Communications,2005,4(2) :625-634.
  • 5ZHANG Y J, LETAIEF K B. Cross-layer adaptive resource management for wireless packet networks with OFDM signaling [ J ]. IEEE Trans on Wireless Communications,2006,5 (11 ): 3244-3254.
  • 6KUO W H, LIAO W J. Utility-based resource allocation for soft QoS traffic in wireless networks [ C ]//Proc of IEEE ICC. Istanbul, Turkey : [ s. n. ] ,2006:5091-5096.
  • 7MIAO Guo-wang, HIMAYAT N. Low complexity utility based resource allocation for 802. 16 OFDMA systems[ C ]//Proc of Wireless Communications and Networking Conference. Las Vegas: [ s. n. ] ,2008: 1465-1470.
  • 8AGARWAL R, MAJJIGI V, VANNITHAMBY R, et al. Efficient scheduling for heterogeneous services in OFDMA downlink [ C ]//Proc of IEEE Globecom. Washington DC : [ s. n. ] ,2007:3235-3239.
  • 9SHENKER S. Fundamental design issues for the future Internet[ J]. IEEE Journal on Selected Areas in Communications, 1995,13 (7) :1176-1188.

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