搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

一种面向中继协作频谱感知系统的自适应全局最优化算法

张茜 刘光斌 余志勇 郭金库

引用本文:
Citation:

一种面向中继协作频谱感知系统的自适应全局最优化算法

张茜, 刘光斌, 余志勇, 郭金库

An adaptive global optimization algorithm of cooperative spectrum sensing with relay

Zhang Qian, Liu Guang-Bin, Yu Zhi-Yong, Guo Jin-Ku
PDF
导出引用
  • 该文研究了冗余中继, 次用户及中继用户数目, 检测门限, 信道传输错误率等因素对中继协作频谱感知系统性能的影响, 并提出一种新的自适应全局最优化算法.该算法基于获得最大无干扰功率的自适应中继选择方法, 确定备选认知中继集合;单个次用户以信道传输错误率最小为准则, 从备选认知中继集合中自适应选择最佳中继, 使总体检测率最大;在给定目标检测率的条件下, 以系统吞吐量最大为准则, 给出了自适应全局最优化算法.仿真实验结果表明新算法信道传输精度高, 信道吞吐量大, 节约带宽资源.
    In this paper is carried out an investigation that the performance of the cooperative spectrum sensing with relay may be interfered by redundant relays, the number of busy cognitive users (CUs) and the secondary relay(SR), detection threshold and transmission error of the channel, so that a global adaptive optimization algorithm is proposed. In this algorithm, based on the maximum interference-free power relay selection (MIFPRS), the set of secondary relay is defined adaptively; and in order to reach a maximum of the probability of detection, the single cognitive user minimizes the transmission error of the channel and selects the relay from the set of secondary relays. To achieve the maximum of the total channel throughput under the given probability of detection, ale ues the entire adaptive optimization algorithm. Numerical simulations demonstrate that the proposed algorithm has a high degree of channel transmission precision, and a large amount of channel throughput, so as to spend less frequency band.
    • 基金项目: 国家自然科学基金(青年科学基金) (批准号: 61201120)资助的课题.
    • Funds: Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61201120).
    [1]

    Laska J, Bradley W, Rondeau T 2011 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Aachen, May 3-6, 2011 p156

    [2]

    Mishali M, Eldar Y C 2011 IEEE Signal Processing Magazine. 28 102

    [3]

    Zu Y X, Zhou J 2012 Chin. Phys. B 21 019501

    [4]

    Zhang X J, Lu Y, Tian F, Sun Z X 2014 Acta Phys. Sin. 63 078401 (in Chinese) [张学军, 鲁友, 田峰, 孙知信 2014 63 078401]

    [5]

    Liu Y, Peng Q C, Shao H Z, Peng Q H 2013 Acta Phys. Sin. 62 078406 (in Chinese) [刘允, 彭启琮, 邵怀宗, 彭启航 2013 62 078406]

    [6]

    Yin C, Tan X Z, Ma L 2014 Acta Phys.Sin. 63 118402 (in Chinese) [殷聪, 谭学治, 马琳 2014 63 118402]

    [7]

    Zheng S L, Yang X N 2012 Acta Phys. Sin. 61 148402 (in Chinese) [郑仕链, 杨小牛 2012 61 148402]

    [8]

    Zhang Q, Jia J, Zhang J 2009 IEEE Communications Magazine 47 111

    [9]

    Zou Y, Yao Y D, Zheng B 2010 IEEE Transactions on Wireless Communications 9 2676

    [10]

    Laneman J N, Tse D N, Wornell G W 2013 IEEE Transactions on Information Theory 50 3062

    [11]

    Hunter T E, Sanayei S, Nosratinia A 2006 IEEE Transactions on Information Theory 52 375

    [12]

    Zhang J C, Fu N, Qiao L Y 2014 Acta Phys. Sin. 63 030701 (in Chinese) [张京超, 付宁, 乔立岩 2014 63 030701]

    [13]

    Ikki S S, Ahmed M H 2010 IEEE Transactions on Communications 58 68

    [14]

    Li M L, Yuang C W, Li L, Yang R Z 2011 Journal on Communications 2 53 (in Chinese) [李美玲, 袁超伟, 李琳, 杨睿哲 2011 通信学报 2 53]

    [15]

    Mark B L, Nasif A O 2009 IEEE Transactions on Wireless Communications 8 2505

    [16]

    Shen J, Liu S, Wang Y 2009 IET Communication 3 1016

    [17]

    Yulong Zou, Jia Zhu, Baoyu Zheng, Sulan Tang 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010) Miami Florida, Dec 6-10 2010, p1

    [18]

    Yue W J, Zheng B Y, Meng Q M 2011 Science China: Information Science 41 365 (in Chinese) [岳文静, 郑宝玉, 孟庆民 2011 中国科学:信息科学 41 365]

    [19]

    Peng M G, Wang W B 2009 Collaborative Wireless Communication Principle and Application (Beijing: China Machine Press) p255 (in Chinese) [彭木根, 王文博 2009 协同无线通信原理与应用(北京:机械工业出版社) 第255页]

  • [1]

    Laska J, Bradley W, Rondeau T 2011 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks Aachen, May 3-6, 2011 p156

    [2]

    Mishali M, Eldar Y C 2011 IEEE Signal Processing Magazine. 28 102

    [3]

    Zu Y X, Zhou J 2012 Chin. Phys. B 21 019501

    [4]

    Zhang X J, Lu Y, Tian F, Sun Z X 2014 Acta Phys. Sin. 63 078401 (in Chinese) [张学军, 鲁友, 田峰, 孙知信 2014 63 078401]

    [5]

    Liu Y, Peng Q C, Shao H Z, Peng Q H 2013 Acta Phys. Sin. 62 078406 (in Chinese) [刘允, 彭启琮, 邵怀宗, 彭启航 2013 62 078406]

    [6]

    Yin C, Tan X Z, Ma L 2014 Acta Phys.Sin. 63 118402 (in Chinese) [殷聪, 谭学治, 马琳 2014 63 118402]

    [7]

    Zheng S L, Yang X N 2012 Acta Phys. Sin. 61 148402 (in Chinese) [郑仕链, 杨小牛 2012 61 148402]

    [8]

    Zhang Q, Jia J, Zhang J 2009 IEEE Communications Magazine 47 111

    [9]

    Zou Y, Yao Y D, Zheng B 2010 IEEE Transactions on Wireless Communications 9 2676

    [10]

    Laneman J N, Tse D N, Wornell G W 2013 IEEE Transactions on Information Theory 50 3062

    [11]

    Hunter T E, Sanayei S, Nosratinia A 2006 IEEE Transactions on Information Theory 52 375

    [12]

    Zhang J C, Fu N, Qiao L Y 2014 Acta Phys. Sin. 63 030701 (in Chinese) [张京超, 付宁, 乔立岩 2014 63 030701]

    [13]

    Ikki S S, Ahmed M H 2010 IEEE Transactions on Communications 58 68

    [14]

    Li M L, Yuang C W, Li L, Yang R Z 2011 Journal on Communications 2 53 (in Chinese) [李美玲, 袁超伟, 李琳, 杨睿哲 2011 通信学报 2 53]

    [15]

    Mark B L, Nasif A O 2009 IEEE Transactions on Wireless Communications 8 2505

    [16]

    Shen J, Liu S, Wang Y 2009 IET Communication 3 1016

    [17]

    Yulong Zou, Jia Zhu, Baoyu Zheng, Sulan Tang 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010) Miami Florida, Dec 6-10 2010, p1

    [18]

    Yue W J, Zheng B Y, Meng Q M 2011 Science China: Information Science 41 365 (in Chinese) [岳文静, 郑宝玉, 孟庆民 2011 中国科学:信息科学 41 365]

    [19]

    Peng M G, Wang W B 2009 Collaborative Wireless Communication Principle and Application (Beijing: China Machine Press) p255 (in Chinese) [彭木根, 王文博 2009 协同无线通信原理与应用(北京:机械工业出版社) 第255页]

  • [1] 刘琦, 王丽丹, 段书凯. 一种基于忆阻交叉阵列的自适应三高斯模型及其在图像增强中的应用.  , 2017, 66(12): 127301. doi: 10.7498/aps.66.127301
    [2] 张瑶, 汤善治, 李明, 王立超, 高俊祥. 同步辐射中双压电片反射镜的研究现状.  , 2016, 65(1): 010702. doi: 10.7498/aps.65.010702
    [3] 郑仕链, 杨小牛, 赵知劲. 用于随机解调器压缩采样的重构判定方法.  , 2014, 63(22): 228401. doi: 10.7498/aps.63.228401
    [4] 王跃钢, 文超斌, 左朝阳, 杨家胜, 郭志斌. 自适应混沌蚁群径向分析算法求解重力辅助导航匹配问题.  , 2014, 63(8): 089101. doi: 10.7498/aps.63.089101
    [5] 张京超, 付宁, 乔立岩, 彭喜元. 一种面向信息带宽的频谱感知方法研究.  , 2014, 63(3): 030701. doi: 10.7498/aps.63.030701
    [6] 康荣宗, 田鹏武, 于宏毅. 一种基于选择性测量的自适应压缩感知方法.  , 2014, 63(20): 200701. doi: 10.7498/aps.63.200701
    [7] 于海涛, 王江. 基于反演自适应动态滑模的FitzHugh-Nagumo神经元混沌同步控制.  , 2013, 62(17): 170511. doi: 10.7498/aps.62.170511
    [8] 王跃钢, 文超斌, 杨家胜, 左朝阳, 崔祥祥. 基于无模型方法的混沌系统自适应控制.  , 2013, 62(10): 100504. doi: 10.7498/aps.62.100504
    [9] 郑仕链, 杨小牛. 用于认知无线电协作频谱感知的混合蛙跳算法群体初始化技术.  , 2013, 62(7): 078405. doi: 10.7498/aps.62.078405
    [10] 刘福才, 李俊义, 臧秀凤. 基于自适应主动及滑模控制的分数阶超混沌系统异结构反同步.  , 2011, 60(3): 030504. doi: 10.7498/aps.60.030504
    [11] 孙彪, 江建军. 标志位频谱感知方法研究.  , 2011, 60(11): 110701. doi: 10.7498/aps.60.110701
    [12] 赵灵冬, 胡建兵, 刘旭辉. 参数未知的分数阶超混沌Lorenz系统的自适应追踪控制与同步.  , 2010, 59(4): 2305-2309. doi: 10.7498/aps.59.2305
    [13] 郑仕链, 楼才义, 杨小牛. 基于改进混合蛙跳算法的认知无线电协作频谱感知.  , 2010, 59(5): 3611-3617. doi: 10.7498/aps.59.3611
    [14] 吴忠强, 邝钰. 多涡卷混沌系统的广义同步控制.  , 2009, 58(10): 6823-6827. doi: 10.7498/aps.58.6823
    [15] 胡建兵, 韩焱, 赵灵冬. 自适应同步参数未知的异结构分数阶超混沌系统.  , 2009, 58(3): 1441-1445. doi: 10.7498/aps.58.1441
    [16] 王兴元, 孟娟. 基于Takagi-Sugeno模糊模型的超混沌系统自适应投影同步及参数辨识.  , 2009, 58(6): 3780-3787. doi: 10.7498/aps.58.3780
    [17] 胡建兵, 韩 焱, 赵灵冬. 基于Lyapunov方程的分数阶混沌系统同步.  , 2008, 57(12): 7522-7526. doi: 10.7498/aps.57.7522
    [18] 刘福才, 梁晓明, 宋佳秋. 广义Hénon混沌系统的自适应双模控制与同步.  , 2008, 57(3): 1458-1464. doi: 10.7498/aps.57.1458
    [19] 龚礼华. 基于自适应脉冲微扰实现混沌控制的研究.  , 2005, 54(8): 3502-3507. doi: 10.7498/aps.54.3502
    [20] 陶朝海, 陆君安. 统一混沌系统的控制.  , 2003, 52(2): 281-284. doi: 10.7498/aps.52.281
计量
  • 文章访问数:  6325
  • PDF下载量:  304
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-07-02
  • 修回日期:  2014-09-27
  • 刊出日期:  2015-01-05

/

返回文章
返回
Baidu
map