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LTE-A飞蜂窝网络自相似业务流的端到端时延边界分析 被引量:2

Bounding End to End Delay for Self-similar Traffic in LTE-A Femtocell Networks
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摘要 LTE-A是一种4G移动通信标准,可满足移动数据业务对传输带宽的要求。为解决移动通信网络中室内信号质量较差的问题,LTE-A标准采用飞蜂窝技术作为室内无线接入解决方案。针对LTE-A飞蜂窝网络的时延边界问题,运用随机网络演算方法分析业务流的自相似性质和MIMO信道的时变特性,构建了LTE-A飞蜂窝网络中自相似业务流的随机到达与随机服务模型。围绕所构建的到达与服务模型,运用有效带宽理论和chernoff界方法,给出了自相似业务流的端到端时延边界。NS3仿真验证表明,在信道带宽和业务流优先级等指标不同的情形下,所给出的理论端到端时延边界与仿真时延的偏差在2ms以内,较为准确有效,可为确保LTE-A飞蜂窝网络的服务质量提供依据。 LTE-A is a fourth-generation radio communication standard which provides high data rates to mobile users.LTE-A adopts femtocell technology to enhance the quality of service(QoS)experienced by indoor users.To derive the end-to-end delay bound of LTE-A femtocell networks,a stochastic network calculus method was proposed.First,stochastic traffic and service curves are constructed to model respectively the self-similar mobile traffic and MIMO channels in LTE-A femtocell networks.Then,effective bandwidth and Chernoff bound approaches are employed to obtain the theoretical end-to-end delay bound.Simulations by NS3 show that the deviation between the theoretical and simulative upper bounds on delay is within 2 milliseconds.This paper provided some fresh insight into QoS provisioning in LTE-A femtocell networks.
出处 《计算机科学》 CSCD 北大核心 2015年第2期70-75,共6页 Computer Science
基金 国家自然科学基金面上项目(61370065)资助
关键词 LTE-A飞蜂窝 随机网络演算 自相似流 时延边界 LTE-A femtocell Stochastic network calculus Self-similar traffic Delay bound
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  • 1宋美娜,段云峰,宋俊德,王进.数据业务自相似特性研究[J].通信学报,2004,25(8):150-155. 被引量:2
  • 2YARON O,SIDI M.Performance and stability of communication networks via robust exponential bounds[J].IEEE/ACM Transactions on Networking,1993,1:372-385.
  • 3STAROBINSKI D,SIDI M.Stochastically bounded burstiness for communication networks[J].IEEE Transactions on Information The-ory,2000,46(1):206-212.
  • 4YIN Q,JIANG Y,JIANG S,et al.Analysis on generalized stochasti-cally bounded bursty traffic for communication networks[A].Pro-ceedings.LCN 2002.27th Annual IEEE Conference on Local Com-puter Networks[C].Tampa,Florida,USA,2002.141-149.
  • 5LELAND W E,TAQQU M S,WILLINGER W,et al.On the self-similar uatare of ethernet traffic (extended versioa)[J].IEEE/ACM Transactions on Networking,1994,2:1-15.
  • 6NORROS I.A storage model with self-similar input[J].Queueing Systems,1994,16:387-396.
  • 7HANG Y.A basic stochastic network calculus[A].SIGCOMM 06:Proceedings of the 2006 Conference on Applications,Technologies,Architectures,and Protocols for Computer Communications[C].Pisa,Italy,2006.123-134.
  • 8SAMORODNITSKY G,TAQQU M S.Stable Non-Gaussinn Random Processes:Stochastic Models with Infinite Variance[M].Chapman and Hall,1994.
  • 9KARASARIDIS A,HATZINAKOS D.Network heavy traffic model-ing using α-stable self-similar processes[J].IEEE Transactions on Communications,2001,79:1203-1214.
  • 10GALLARDO J R,MAKRAKIS D,OROZCO-BARBOSA L.Use of alpha-stable self-similar stochastic processes for modeling traffic in broadband networks[J].Performance Evaluation,2000,40:71-98.

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  • 1Zahir T, Arshad K, Nakata A, et al. Interference management in femtocells[J]. IEEE Communications Surveys Tutorials, 2013,15(1) : 293-311.
  • 2Andrews J G, Claussen H, Dohler M, et al. Femtocells: Past, present,and future [J]. IEEE Journal on Selected Areas in Communications, 2012,30(3) .. 497-508.
  • 3Aijaz A, Aghvami H,Amani M. A survey on mobile data off- loading: technical and business perspeetives[J]. IEEE Wireless Communications, 2013,20 (2) : 104-112.
  • 4Saquib N, Hossain E, Le L B, et al. Interference management in OFDMA femtocell networks: issues and approaches[J]. IEEE Wireless Communications, 2012,19 (3) : 86-95.
  • 5Ning G, Yang Q, Kwak K S, et al. Macro- and femtocell interfe- rence mitigation in OFDMA wireless systems[C]//Global Com- munications Conference(GLOBECOM). IEEE, 2012 : 5068-5073.
  • 6Uygungelen $, Auer G, Bharucha Z. Graph-based dynamic fre- quency reuse in femtocell networks[C]//IEEE 73rd Vehicular Technology Conference(VTC Spring). IEEE, 2011: 1-6.
  • 7Xu P, Fang X, Chen M, et al. A stackelberg game-based spec- trum allocation scheme in macro/femtocell hierarchical networks [J]. Computer Communications,2013,36(14) : 1552-1558.
  • 8Xiang X, Wan J, Lin C, et al. A dynamic programming approxi- mation for downlink channel allocation in cognitive femtocell networks[j]. Computer Networks, 2013,57 (15) : 2976-2991.
  • 9Lee T, Kim H, Park J, et al. Dynamic fractional-frequency reuse for femtocells[C]//Proceedings of the 5th ICUIMC. 2011..80.
  • 10Lee T, Yoon J, Shin J. Resource allocation analysis in OFDMA femtocells using fractional frequency reuse[C]//2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications(PIMRC). IEEE, 2010 : 1224-1229.

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