| 认知无线电网络中最稳定最大容量频谱分配算法 |
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| 引用本文： | 李 云,袁志勇,王 勇,刘期烈,曹 傧. 认知无线电网络中最稳定最大容量频谱分配算法[J]. 计算机应用研究, 2013, 30(7): 2160-2164 |
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| 作者姓名： | 李 云 袁志勇 王 勇 刘期烈 曹 傧 |
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| 作者单位： | 1. 重庆邮电大学 移动通信技术重点实验室, 重庆 400065; 2. 电子科技大学 通信抗干扰国家重点实验室, 成都 611731; 3. 重庆大学 光电技术及系统教育部重点实验室, 重庆 400044 |
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| 基金项目： | 国家自然科学基金资助项目（61071118, 60702055）; 重庆市杰出青年科学基金资助项目（CQ CSTC）; 重庆市教委科研项目（KJ111506） |
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| 摘 要： | 认知无线电网络中, 主用户(primary users, PU)和认知用户(cognitive users, CU)的行为均会给认知节点间的频谱分配带来重大影响。考虑CRN中主用户对认知用户的影响及认知用户间相互干扰这两种因素, 提出认知用户可用信道的潜在竞争节点数(number of potential competition node, PCNN)这一概念, 进而定义信道稳定度作为衡量频谱质量的参数。在信道分配时, 综合考虑信道稳定度和信道容量, 提出最稳定最大容量(most stable maximum capacity, MSMC)信道分配算法。性能评估的结果表明, MSMC信道分配算法可有效降低端到端平均时延及显著提高端到端吞吐量。
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| 关 键 词： | 认知无线电网络 竞争节点数目 信道稳定度 最大容量准则 频谱分配 |
Most stable maximum capacity spectrum allocation algorithm for cognitive radio networks |
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| LI Yun,YUAN Zhi-yong,WANG Yong,LIU Qi-lie,CAO Bin. Most stable maximum capacity spectrum allocation algorithm for cognitive radio networks[J]. Application Research of Computers, 2013, 30(7): 2160-2164 |
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| Authors: | LI Yun YUAN Zhi-yong WANG Yong LIU Qi-lie CAO Bin |
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| Affiliation: | 1. Key Laboratory of Mobile Communication Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China; 2. State Key Laboratory of Science & Technology on Communications, University of Electronic Science & Technology of China, Chengdu 611731, China; 3. Key Laboratory of Opto-Electronics Technology & System of Ministry of Education, Chongqing University, Chongqing 400044, China |
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| Abstract: | In cognitive radio network, the PU and CU behavior will impose great influence on spectrum allocation among cognitive nodes. Considering the two factors of the PU-to-CU and the CU-to-CU interference, this paper put forward the PCNN concept for the cognitive users' available channels, and defined the channel stability as a parameter to measure the quality of spectrum. Taking both the channel stability and the channel capacity into consideration, this paper proposed the MSMC channel allocation algorithm. Numerical results show that the MSMC algorithm can reduce the average end-to-end delay effectively and improve the end-to-end throughput significantly. |
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