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信道速率优化的无线中继系统数据传输算法 被引量:1

Data transmission algorithm for wireless relay system based on channel rate optimization
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摘要 针对无线中继网络信道数据传输效率低、传输能耗大等问题,提出一种信道速率优化的无线中继系统数据传输算法。构建一个工程中常用的多跳半双工放大转发中继系统模型对网络的信道数据中继传输过程进行分析,进行渐近总速率分析并用逆威沙特随机矩阵得到总速率的近似值,采取天线角度调整的优化方法,调整中继天线仰角波束得到最优化的信道总速率。实验结果表明,相较基于最佳频谱租赁和资源共享双向中继通信系统和基于二次频谱接入的中继方案,该算法信道数据传输的丢包率分别降低了8.3%和9.7%,网络能量效率分别提高了21.4%和26.8%。 For the problems of low efficiency of data transmission and high energy consumption in wireless relay network,a data transmission algorithm for wireless relay system based on channel rate optimization was proposed.A multi-hop half-duplex transmission and repeater system model commonly used in engineering was built to analyze the channel data relay transmission process of the network.The asymptotic total rate analysis was performed,and inverse Wishart random matrix was used to get the total approximate rate.The optimization method of antenna angle adjustment was adopted,and the total channel rate was optimized by adjusting the elevation angle of the relay antenna.Experimental results show that the packet loss ratio of the channel data transmission is reduced by 8.3%and 9.7%,respectively,compared with the one based on the optimal spectrum leasing and resource sharing bidirectional relay communication system and the secondary spectrum access based relay scheme,while the energy efficiency of the network is increased by 21.4%and 26.8%respectively.
作者 庞建丽 高丽娜 PANG Jian-li;GAO Li-na(College of Information Engineering,Huanghuai University,Zhumadian 463000,China;Animation Academy,Huanghuai University,Zhumadian 463000,China)
出处 《计算机工程与设计》 北大核心 2018年第11期3340-3344,共5页 Computer Engineering and Design
基金 河南省高校骨干教师计划基金项目(2015GGJS-252)
关键词 无线中继系统 信道速率优化 渐近总速率分析 仰角波束调度 能量效率 wireless relay systems channel rate optimization asymptotic total rate analysis elevation beam scheduling energy efficiency
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  • 1Laneman J N, Tse D N C, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior[ J]. IEEE Transactions on Information Theory, 2004, 50(12) : 3062-3080.
  • 2Nabar R U, Oyman O, Bolsckei H, et al. Capacity scaling laws in MIMO wireless networks[ C ]//Allerton Conference on Communication, Control and Computing. Monticello: IEEE Press, 2003: 378-389.
  • 3Shi Hui, Abe T, Asai T, et al. A relaying scheme using QR decomposition with phase control for MIMO wireless networks [ C ] //IEEE ICC'05. Seoul : IEEE Press, 2005 : 2705-2711.
  • 4Shi Hui, Abe T, Asai T, et al. Relaying schemes using matrix triangularization for MIMO wireless networks [ J ]. IEEE Trans on Comm, 2007, 55(9) : 1683-1688.
  • 5Long Hang, Zheng Kan, Wang Fangxiang, et al. Distributed spatial-temporal precoding and power allocation in MIMO relay systems with limited feedback [ C ] // IEEE VTC'09 Fall. Anchorage: IEEE Press, 2009 : 1-5.
  • 6Oyman O, Paulraj A J. Design and analysis of linear distributed MIMO relaying algorithms[J], lEE Proceedings- Communications, 2006, 153 (4) : 565-572.
  • 7Horn R A, Johnson C R. Matrix analysis [ M]. New York: Cambridge University Press, 1985: 290-296.
  • 8Tang Xiaojun, Hua Yingbo. Optimal design of non- regenerative MIMO wireless relays[ J]. IEEE Trans on Wireless Comm, 2007, 6(4) : 1398-1407.
  • 9Laneman JN, Tse DNC, Womell GW (2004) Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans Inform Theory 50(12):3062-3080.
  • 10Jamal T, Mendes P (2010) Relay selection approaches for wireless cooperative networks, In: 2010 IEEE 6th international conference on wireless and mobile computing, networking and communica- tions, Niagara Falls, Ontario, 11-13 Oct 2010, pp 661-668.

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