| 引用本文: | 刘鑫,张建伟,杨昊,孔繁锵,高宁,闫钧华.多信道认知无线电频谱感知时间和门限联合分配[J].哈尔滨工业大学学报,2016,48(5):117.DOI:10.11918/j.issn.0367-6234.2016.05.019 |
| LIU Xin,ZHANG Jianwei,YANG Hao,KONG Fanqiang,Gao Ning,Yan Junhua.Joint allocation of spectrum sensing time and threshold in multichannel cognitive radio[J].Journal of Harbin Institute of Technology,2016,48(5):117.DOI:10.11918/j.issn.0367-6234.2016.05.019 |
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| 多信道认知无线电频谱感知时间和门限联合分配 |
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刘鑫1,3, 张建伟2, 杨昊2, 孔繁锵3, 高宁4, 闫钧华3
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(1. 大连理工大学 信息与通信工程学院, 116024 辽宁 大连; 2. 电力科学研究院 云南电网有限责任公司, 650217 昆明; 3. 南京航空航天大学 航天学院, 210016 南京; 4.中国航天科技集团 五○二研究所, 100190 北京)
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| 摘要: |
| 为提高多信道认知无线电的吞吐量，提出采用交替方向优化联合分配次用户的频谱感知时间和子信道感知门限.基于"先听后传"的次用户帧结构，建立了感知时间和门限的优化分配模型.该模型在保证满足主用户通信需求和子信道频谱感知性能的前提下，最大化次用户各子信道的吞吐量总和.联合优化算法通过交替优化感知时间和门限能够获得模型的最优解.仿真结果表明：存在最优的感知时间和门限最大化次用户的吞吐量，并且相比之前的方案，联合分配能够提高次用户的吞吐量.
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| 关键词: 认知无线电 频谱感知 联合分配 吞吐量 |
| DOI：10.11918/j.issn.0367-6234.2016.05.019 |
| 分类号:TN92 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(4,0); 江苏省自然科学基金(BK20140828); 中国博士后科学基金(2015M580425). |
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| Joint allocation of spectrum sensing time and threshold in multichannel cognitive radio |
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LIU Xin1,3, ZHANG Jianwei2, YANG Hao2, KONG Fanqiang3, Gao Ning4, Yan Junhua3
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(1. School of Information and Communication Engineering, Dalian University of Technology, 116024 Dalian, Liaoning, China; 2. Electric Power Research Institute, Yunnan Power Grid Company Limited, 650217 Kunming, China; 3.College of Astronautics, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, China; 4. 502 Research Centre, China Aerospace Science and Technology Corporation, 100190 Beijing, China)
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| Abstract: |
| In order to improve the throughput of multichannel CR, a joint allocation of spectrum sensing time and subchannel sensing threshold based on the alternating direction optimization is proposed. Based on the SU's listen-before-transmit frame structure, an optimized allocation model is built to maximize the aggregate throughput of the SU over all the subchannels, providing that the communication demand of the PU and the performance of the subchannel spectrum sensing are guaranteed. The joint optimization algorithm is proposed to obtain the optimal solutions to the model through alternately optimizing sensing time and threshold. The simulation results show that there exist the optimal sensing time and threshold that maximize the SU's throughput, and compared to the previous schemes, the joint allocation can improve the SU's throughput.
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| Key words: cognitive radio spectrum sensing joint allocation throughput |
