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高移动无线网络频谱的动态启发规划策略研究

Research on Dynamic Heuristic Planning Strategy of High Mobile Wireless Network Spectrum
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摘要 针对当前高移动无线网络效率低下、可靠性与稳定性不佳等问题,设计了一种频谱动态启发规划策略。根据高移动无线网络模型分析,采用吞吐量、效益和干扰多因素启发频谱的动态规划。首先,利用客户数据流量与信道吞吐量,把客户数据规划至不同的信道中,从而控制客户的入网速度;同时考虑到丢包率与信噪比对数据传递速率的影响,设计了传递速率调整规则。然后,结合客户效益与信噪比进行客户权值标记,选择最大效益的客户接入网络。最后构造预备频谱集合,通过频谱槽计算得到信道频谱的剩余情况,并根据客户效益进行预备频谱分配。仿真结果表明,所设计的启发动态规划策略有效提高了高移动无线网络的频谱利用率,具有更高的数据传递速度和更好的网络效益,并且允许网络接入更多的客户量。 In view of the low efficiency, reliability and stability of the current high mobile wireless network, a spectrum dynamic heuristic planning strategy was designed. According to the analysis of high mobile wireless network model, a dynamic spectrum planning was inspired by throughput, benefit and interference. Firstly, according to the customer data flow and channel throughput, the customer data were planned to different channels, so as to control the customer’s network access speed. At the same time, considering the impact of packet loss rate and signal-to-noise ratio on the data transfer rate, the transfer rate adjustment rules were designed. Then, combining the customer benefit and signal-to-noise ratio to mark the customer weight, we selected the most effective customer access network. Finally, a set of pre spectrum was constructed, and the residual spectrum of the channel was calculated with the spectrum slot, and the pre spectrum was allocated according to the customer benefit. The experimental results show that the heuristic dynamic programming strategy effectively improves the spectrum efficiency of high mobile wireless network, has higher data transmission speed and better network efficiency, and allows the network to access more customers.
作者 朱发财 许济金 ZHU Fa-cai;XU Ji-jin(Fuzhou Institute of Technology,Fuzhou Fujian 350506,China;Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China)
出处 《计算机仿真》 北大核心 2020年第10期155-158,346,共5页 Computer Simulation
基金 移动通信和物联网福建省高校工程研究中心开放课题(kfkt20180008)。
关键词 高移动无线网络 吞吐量 信噪比 频谱槽 频谱动态规划 High mobile wireless network Throughput SNR Spectrum slot Spectrum dynamic planning
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  • 1WANG Z, and CHEN W. Relay Beamforming Design with SIC Detection for MIMO Multi- Relay Networks with Imperfect CSI [J]. IEEE Transactions on Vehicular Technology, 2013, 62(8): 3774-3785.
  • 2ZHU H, and CHEN W. Comments on a New ML Based Interference Cancellation Technique for Layered Space-Time Codes [J]. IEEE Transactions on Communications, 2010, 58(11): 3054-3055. doi: 10.1109/ TCOMMM.2010.083110.100001.
  • 3WEI Y, JIANG M, XIA B, CHEN W, and YANG Y. A CRC-aided Hybrid Decoding Algorithm for Turbo Codes [J]. IEEE Wireless Communications Letters, 2013, 2(5): 471- 474.
  • 4TANG H, CHEN W, LI J, and WAN H. Achieving Global Optimality for Joint Source and Relay Beamforming Design in Two-Hop Relay Channels [J]. IEEE Transactions on Vehicular Technology, 2014, 63(9): 4422- 4435. doi: 10.1109/7"VT.2014.2311472.
  • 5WEI L, and CHEN W. Optimal Upward Scaling of Minimum-TSC Binary Signature Sets [J]. IEEE Communications Letters, 2012, 16(2):168-171 .doi: 10.1109/ LCOMM.2011.120211.111534.
  • 6WU Q, CHEN W, TAO M, LI J, TANG H, and WU J. Resource Allocation for Joint Transmitter and Receiver Energy Efficiency Maximization in Downlink OFDMA Systems [J]. IEEE Transactions on Communications, 2015, 63(2): 416-430. doi: 10.1109/ TCOMM.2014.2385705.
  • 7ZHU H, LI B, and CHEN W. A practical and efficient algorithm for distributed interference alignment based on cognitive radio [C]//IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCom), Chengdu, China, 2010:1-4. doi: 10.1109/ WlCOM.2010.5600120.
  • 8WEI S, LI J, CHEN W, ZHENG L, and SHU H Design of Generalized Analog Network Coding for a Multiple-Access Relay Channel [J]. IEEE Transactions on Communications, 2015, 62(1): 170-185. doi: 10,1109/ TCQMM.2014,2376954.
  • 9SIDHU G, and GAO F, WANG W, and CHEN W. Resource Allocation in Relay-Aided QFDM Cognitive Radio Networks [J]. IEEE Transactions on Vehicular Technology, 2013 62(8): 3700-3710. doi: 10.1109/ TVT.2013.2259511.
  • 10ZHANG M, YI H., YU H, LUO H and CHEN W. Joint Optimization in Bidirectional Multi- User Multi-Relay MIMO Systems: Non- Robust and Robust Cases[J]. IEEE Transactions on Vehicular Technology, 2013, 62(7): 3228-3244, doi: 10.1109/ TVT.2013.2255898.

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