基于信任度的双门限协作频谱感知算法

张学军; 鲁友; 田峰; 孙知信; 成谢锋

doi:10.7498/aps.63.078401

摘要

提出了一种兼顾认知无线电系统可靠性和低负载的基于信任度的双门限协作频谱检测算法.系统首先使满足双门限要求的认知节点参与协作感知，当满足双门限要求的认知节点数目不足时，增加满足信任度参数要求的认知节点参与协作感知.融合中心存储了认知节点的检测记录，并以此为局部检测结果设置融合权重.理论分析和仿真结果表明，该算法所需传输的感知参数减少了，占用的信道带宽降低.同时，由于不可靠用户的减少，算法的检测性能进一步提高了.此外，算法通过调整参数nt 使系统适应于不同类型的无线业务，具有一定的灵活性.

关键词:

Abstract

This paper presents a double-threshold cooperative spectrum sensing algorithm which is based on trust and satisfies both reliability and efficiency. The cognitive nodes that satisfy the request of double-threshold have the priority to participate in cooperative sensing and that satisfy the requirement of trust parameters may participate in cooperative sensing if only the number of the former is smaller than a preset value. The fusion center stores the sensing record of each cognitive node and sets the fusion weights according to the partial detected results. Theoretical analysis and simulation show that the bandwidth required for transmitting the sensing parameters decreases, and the detection performance improves because the unreliable users are reduced. Additionally, the algorithm can be made to adapt to different wireless service by adjusting the parameter nt.

Keywords:

作者及机构信息

1.
南京邮电大学宽带无线通信与传感网技术教育部重点实验室, 南京 210003;

2.
南京邮电大学电子科学与工程学院, 南京 210003

基金项目: 国家自然科学基金（批准号：61001077，61170276，61271334）资助的课题.

Authors and contacts

1.
Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;

2.
School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 61001077, 61170276, 61271334).

参考文献

[1]	FCC 2003 FCC Document ET Docket 3 108
[2]	Mitola J, Maguire G Q 1999 IEEE Trans.Personal Communications. 6 13
[3]	Wang B B, Liu K J R 2011 IEEE Journal of Selected Topics in Signal Processing. 5 5
[4]	Omar A M, Aly 2013 Saudi International Electronics, Communications and Photonics Conference, Riyadh, April 27-30, 2013 p1
[5]	Liu Y, Peng Q C, Shao H Z, Peng Q H, Wang L 2013 Acta Phys. Sin. 62 078406 (in Chinese)[刘允, 彭启琮, 邵怀宗, 彭启航, 王玲2013 62 078406]
[6]	Zu Y X, Zhou J, Zeng C C 2010 Chin. Phys. B 19 119501
[7]	Zu Y X, Zhou J 2012 Chin. Phys. B 21 019501
[8]	Cabric D, Mishra S M, Brodersen R W 2004 Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Asilomar, Nov.7-10, 2004 p772
[9]	Zheng S L, Lou C Y, Yang X N 2010 Acta Phys. Sin. 59 3611 (in Chinese) [郑仕链, 楼才义, 杨小牛2010 59 3611]
[10]	Liu S Q, Hu B J Wang X Y 2012 IEEE Trans. Communications Letters. 16 1096
[11]	Yue W J, Chen Z, Zheng B Y, Wang L 2012 Journal of Electronics & Information Technology 5 1208 (in Chinese)[岳文静, 陈志, 郑宝玉2012 电子与信息学报5 1208]
[12]	Liu X, Zhang C W, Tan X Z 2011 The 6th International ICST Conference on Communications and Networking in China, China, Aug. 11-19, 2011 p205
[13]	Liu H Q, Wang S B, Li F, Zhan S W 2013 The 5th International Conference on Intelligent Networking and Collaborative Systems, China, Sept.9-11, 2013 p629
[14]	Xie S J, Shen L F 2012 2012 International Conference on Wireless Communications & Signal Processing, Huangshan, Oct.25-27, 2012 p1
[15]	Liang Y C, Zeng Y H, Peh E C Y, Hoang A T 2008 IEEE Trans. Wireless Communications. 7 1326
[16]	Ding H Q, Yang J W, Zhao Z Y 2010 Journal of Xidian University 37 665 (in Chinese) [丁汉青, 杨家玮, 赵志远 2010 西安电子科技大学学报37 665]
[17]	Wei Z, Mallik R K, Letaief K B 2009 IEEE Trans. Wireless Communications. 8 5761
[18]	Sun C H, Zhang W, Letaief K B 2007 IEEE Wireless Communications and Networking Conference, Kowloon, March 11-15, 2007 p1
[19]	Cheng X F, Zhang Z 2013 Acta Phys. Sin. 62 168701 (in Chinese)[成谢锋, 张正2013 62 168701]

施引文献

[1]	FCC 2003 FCC Document ET Docket 3 108
[2]	Mitola J, Maguire G Q 1999 IEEE Trans.Personal Communications. 6 13
[3]	Wang B B, Liu K J R 2011 IEEE Journal of Selected Topics in Signal Processing. 5 5
[4]	Omar A M, Aly 2013 Saudi International Electronics, Communications and Photonics Conference, Riyadh, April 27-30, 2013 p1
[5]	Liu Y, Peng Q C, Shao H Z, Peng Q H, Wang L 2013 Acta Phys. Sin. 62 078406 (in Chinese)[刘允, 彭启琮, 邵怀宗, 彭启航, 王玲2013 62 078406]
[6]	Zu Y X, Zhou J, Zeng C C 2010 Chin. Phys. B 19 119501
[7]	Zu Y X, Zhou J 2012 Chin. Phys. B 21 019501
[8]	Cabric D, Mishra S M, Brodersen R W 2004 Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, Asilomar, Nov.7-10, 2004 p772
[9]	Zheng S L, Lou C Y, Yang X N 2010 Acta Phys. Sin. 59 3611 (in Chinese) [郑仕链, 楼才义, 杨小牛2010 59 3611]
[10]	Liu S Q, Hu B J Wang X Y 2012 IEEE Trans. Communications Letters. 16 1096
[11]	Yue W J, Chen Z, Zheng B Y, Wang L 2012 Journal of Electronics & Information Technology 5 1208 (in Chinese)[岳文静, 陈志, 郑宝玉2012 电子与信息学报5 1208]
[12]	Liu X, Zhang C W, Tan X Z 2011 The 6th International ICST Conference on Communications and Networking in China, China, Aug. 11-19, 2011 p205
[13]	Liu H Q, Wang S B, Li F, Zhan S W 2013 The 5th International Conference on Intelligent Networking and Collaborative Systems, China, Sept.9-11, 2013 p629
[14]	Xie S J, Shen L F 2012 2012 International Conference on Wireless Communications & Signal Processing, Huangshan, Oct.25-27, 2012 p1
[15]	Liang Y C, Zeng Y H, Peh E C Y, Hoang A T 2008 IEEE Trans. Wireless Communications. 7 1326
[16]	Ding H Q, Yang J W, Zhao Z Y 2010 Journal of Xidian University 37 665 (in Chinese) [丁汉青, 杨家玮, 赵志远 2010 西安电子科技大学学报37 665]
[17]	Wei Z, Mallik R K, Letaief K B 2009 IEEE Trans. Wireless Communications. 8 5761
[18]	Sun C H, Zhang W, Letaief K B 2007 IEEE Wireless Communications and Networking Conference, Kowloon, March 11-15, 2007 p1
[19]	Cheng X F, Zhang Z 2013 Acta Phys. Sin. 62 168701 (in Chinese)[成谢锋, 张正2013 62 168701]

[1]	文方青, 张弓, 陶宇, 刘苏, 冯俊杰. 面向低信噪比的自适应压缩感知方法. , 2015, 64(8): 084301. doi: 10.7498/aps.64.084301
[2]	张茜, 刘光斌, 余志勇, 郭金库. 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. , 2015, 64(1): 018404. doi: 10.7498/aps.64.018404
[3]	杨小龙, 谭学治, 关凯. 认知无线电网络中基于抢占式排队论的频谱切换模型. , 2015, 64(10): 108403. doi: 10.7498/aps.64.108403
[4]	柴争义, 王秉, 李亚伦. 拟态物理学优化的认知无线电网络频谱分配. , 2014, 63(22): 228802. doi: 10.7498/aps.63.228802
[5]	伍春, 江虹, 尤晓建. 基于博弈论的认知无线电网络跨层资源分配. , 2014, 63(8): 088801. doi: 10.7498/aps.63.088801
[6]	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
[7]	高洪元, 李晨琬. 膜量子蜂群优化的多目标频谱分配. , 2014, 63(12): 128802. doi: 10.7498/aps.63.128802
[8]	殷聪, 谭学治, 马琳, 于洋. 认知无线电中基于频谱聚合的全局比例公平调度算法. , 2014, 63(11): 118402. doi: 10.7498/aps.63.118402
[9]	江虹, 刘从彬, 伍春. 认知无线电网络中提高传输层端到端吞吐率的跨层参数配置. , 2013, 62(3): 038804. doi: 10.7498/aps.62.038804
[10]	刘允, 彭启琮, 邵怀宗, 彭启航, 王玲. 一种基于授权信道特性的认知无线电频谱检测算法. , 2013, 62(7): 078406. doi: 10.7498/aps.62.078406
[11]	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
[12]	柴争义, 郑丽萍, 朱思峰. 混沌免疫算法求解认知无线电网络资源分配问题. , 2012, 61(11): 118801. doi: 10.7498/aps.61.118801
[13]	郑仕链, 杨小牛. 绿色认知无线电自适应参数调整. , 2012, 61(14): 148402. doi: 10.7498/aps.61.148402
[14]	俎云霄, 周杰. 基于组合混沌遗传算法的认知无线电资源分配. , 2011, 60(7): 079501. doi: 10.7498/aps.60.079501
[15]	周杰, 俎云霄. 一种用于认知无线电资源分配的并行免疫遗传算法. , 2010, 59(10): 7508-7515. doi: 10.7498/aps.59.7508
[16]	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
[17]	赵知劲, 徐世宇, 郑仕链, 杨小牛. 基于二进制粒子群算法的认知无线电决策引擎. , 2009, 58(7): 5118-5125. doi: 10.7498/aps.58.5118
[18]	赵知劲, 彭振, 郑仕链, 徐世宇, 楼才义, 杨小牛. 基于量子遗传算法的认知无线电频谱分配. , 2009, 58(2): 1358-1363. doi: 10.7498/aps.58.1358
[19]	赵知劲, 郑仕链, 尚俊娜, 孔宪正. 基于量子遗传算法的认知无线电决策引擎研究. , 2007, 56(11): 6760-6766. doi: 10.7498/aps.56.6760
[20]	贺明峰, 穆云明, 赵立中. 基于参数自适应控制的混沌同步. , 2000, 49(5): 830-832. doi: 10.7498/aps.49.830

计量

文章访问数: 6155
PDF下载量: 605
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板