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一种次用户随机接入新模型及系统

A new model and system for secondary users random access
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摘要 为解决非理想感知条件下无线通信系统的冲突概率及频谱利用率问题,利用连续时间的马尔可夫链,构建了一个面向多信道、多用户、非确定状态的概率模型.仿真结果表明:在虚警概率Pf1=0.1,Pf2=0.15,总信道数M=10的条件下,当系统的信噪比由-10 dB增加到10 dB,次用户到达强度由0.5增加到5时,冲突概率由0.9降为0.6,频谱利用率由0.27提高到1.00,说明本文方法能有效提高频谱资源利用率,克服了现有方法的不足. In order to solve the problem of collision probability and spectrum utilization of wireless communication system under non-ideal perception condition,a probabilistic model for multi-channel,multi-user and non-deterministic state is constructed by continuous time Markov chain.Simulation results show that under the conditions of false alarm probability Pf1=0.1,Pf2=0.15,and the total number of channels M=10,when the signal-to-noise ratio of the system increases from-10 dB to 10 dB,and the intensity of arrival of the second user increases from 0.5 to 5,the conflict probability decreases from 0.9 to 0.6,and the spectrum utilization increases from 0.27 to 1.00.The results show that this method can effectively improve the utilization of spectrum resources and overcome the shortcomings of existing methods.
作者 胡念英 李瑞阁 郑娜娥 HU Nianying;LI Ruige;ZHENG Nae(Computer&Information Engineering College;Institute of Mathematical,Nanyang Institute of Technology,Nanyang473000,China;Data&Target Engineering College,Information Engineering University,Zhengzhou450002,China)
出处 《扬州大学学报(自然科学版)》 CAS 北大核心 2019年第3期23-26,共4页 Journal of Yangzhou University:Natural Science Edition
基金 电子信息系统复杂电磁环境效应国家重点实验室基金项目(CEMEE2018Z0103B)
关键词 非理想感知 冲突概率 频谱利用率 连续时间马尔可夫链 概率模型 non-ideal perception conflict probability spectrum utilization continuous time Markov chain probability model
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  • 1OSSEIRAN A, BRAUN V, HIDEKAZU T, et al. The foundation of the mobile and wireless communications system for 2020 and beyond: challenges, enablers and technology solutions[C]. IEEE Vehicular Technology Conference, Dresden, 2013: 1-5.
  • 2AHMAD A, AHMAD S, REHMANI M H, et al. A survey on radio resource allocation in cognitive radio sensor networks[J] IEEE Communications Surveys & Tutorials, 2015, 17(2): 888-917.
  • 3VASSAKI S, POULAKIS M I, and PANAGOPOULOS A D. Spectrum leasing in cognitive radio networks: a matching theory approach[C]. IEEE Vehicular Technology Conference, Glasgow, 2015: 1-5.
  • 4MITOLA J, GUERCI J, REED J, et al. Accelerating 5G QoE via public-private spectrum sharing[J]. IEEE Communications Magazine, 2014, 52(5): 77-85.
  • 5MUSAVIAN L and AISSA S. Capacity and power allocation for spectrum sharing communications in fading channels[J]. IEEE Transactions Wireless Communications, 2009, 8(1): 148-156.
  • 6ASGHARI V and AISSA S. Adaptive rate and power transmission in spectrum-sharing systems[J]. IEEE Transactions Wireless Communications, 2010, 9(10): 3272-3280.
  • 7ZHOU X, LI G Y, LI D, et al. Probabilistic resource allocation for opportunistic spectrum access[J]. IEEE Transactions Wireless Communications, 2010, 9(9):2870-2879.
  • 8XU Y, ANPALAGAN A, WU Q, et al. Decision-theoretic distributed channel selection for opportunistic spectrum access: strategies, challenges and solutions[J]. IEEE Communications Surveys & Tutorials, 2013, 15(4): 1689-1713.
  • 9IEEE 1900.5-2011. Standard for policy language requirements and system architectures for dynamic spectrum access (DSA) systems [S]. 2011.
  • 10A1-Ali A K, SUN Y, FELICE M D, et al. Accessing spectrum databases using interference alignment in vehicular cognitive radio networks[J]. IEEE Transactions on VehicularTechnology, 2015, 64(1): 263 272.

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