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蜂窝系统上行的多业务智能接纳控制方法 被引量:2

An Intelligence Call Admission Control Algorithm for Multi-Class Services on Uplink in Cellular Systems
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摘要 为满足下一代网络接入业务多样化的需求,提出了一种基于蜂窝网上行的多业务智能接纳(ICAC)方法.该方法通过统计语音业务的业务量,对下一时间段进行业务预测并分配相应的接入资源;对于数据业务,运用模糊逻辑对用户分配带宽资源.仿真结果表明,对于动态变化的业务流,该方法可有效降低语音业务掉话率和呼损率,减少数据业务接入的等待时延. For satisfying the diverse needs of next-generation networks to access multi-class services,an intelligence call admission control(ICAC) algorithm for uplink multi-class services based on cell systems was proposed.The traffic load is estimated through the traffic statistics and the bandwidth is allocated for the next period by this method;for date services,fuzzy logic is used by this method to allocate bandwidth to date traffic;simulation results show that for dynamical traffic load,the method has better performance in reducing call drop rate and block rate of voice traffic,and decreasing accessing waiting time of date traffic.
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2012年第2期32-36,共5页 Journal of Beijing University of Posts and Telecommunications
基金 国家杰出青年科学基金项目(60725105) 国家重点基础研究发展计划项目(2009CB320404) 教育部科学技术研究重点项目(107103) 长江学者和创新团队发展计划项目(IRT0852) 国家高技术研究发展计划项目(2007AA01Z288) 高等学校创新引智计划项目(B08038) 国家自然科学基金项目(60902032) 中央高校基本科研业务费专项资金项目(K50511010008)
关键词 无线蜂窝网 接纳控制 多业务 wireless cellular networks admission control multi-class services
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参考文献5

  • 1Li Bin,Li Lizhong,Li Bo,et al.Call admission controlfor voice/data integrated cellular networks:performanceanalysis and comparative study[J].IEEE Journal onSelected Areas in Communications,2004,22(4):706-718.
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同被引文献11

  • 1廖凤华,荆涛,付立.多业务无线蜂窝网中呼叫接入策略性能分析[J].广东通信技术,2007,27(5):31-34. 被引量:1
  • 2LI B, LI L.Call admission control for voice/data integrated cellular networks:performance analysis and comparative study[J].IEEE Journal on Selected Areas in Communications, 2004, 22(4):706-718.
  • 3刘次欢.随机过程及其应用[M].北京:高等教育出版社, 2004.
  • 4YANG Z, NIU Z.A new relay based dynamic load balancing scheme in cellular networks[C]//Vehicular Technology Conference Fall.[s.l.]:IEEE, 2010:1-5.
  • 5YANG Z, NIU Z.Load balancing by dynamic base station relay station associations in cellular networks[J].IEEE Wireless Communications Letters, 2013, 2(2):155-158.
  • 6WU J, WU Y, ZHOU S, et al.Traffic-aware power adaptationand base station sleep control for energy-delay tradeoffs in green cellular networks[C]//Global Communications Conference (GLOBECOM).[s.l.]:IEEE, 2012:3171-3176.
  • 7KIM D H, ZHANG D, BHUSHAN N, et al.Admission control for cellular networks with direct QoS monitoring[J].Wireless Networks, 2013, 19(2):131-144.
  • 8NOSRATINIA A, HUNTER T E, HEDAYAT A.Cooperative communication in wireless networks[J].IEEE Communications Magazine, 2004, 42(10):74-80.
  • 9HASAN Z, BOOSTANIMEHR H, BHARGAVA V K.Green cellular networks:A survey, some research issues and challenges[J].IEEE Communications Surveys & Tutorials, 2011, 13(4):524-540.
  • 10徐大江.三次指数平滑预测法渐近最优性及其预测偏差的进一步研究[J].预测,1997,16(6):43-45. 被引量:14

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