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业务感知的自适应协作频谱感知算法

邱恭安 章国安

邱恭安, 章国安. 业务感知的自适应协作频谱感知算法[J]. 电子与信息学报, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582
引用本文: 邱恭安, 章国安. 业务感知的自适应协作频谱感知算法[J]. 电子与信息学报, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582
QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582
Citation: QIU Gongan, ZHANG Guoan. Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(4): 866-872. doi: 10.11999/JEIT160582

业务感知的自适应协作频谱感知算法

doi: 10.11999/JEIT160582
基金项目: 

国家自然科学基金(61371113, 61601248)

Service Awareness Based Adaptive Cooperative Spectrum Sensing Algorithm

Funds: 

The National Natural Science Foundation of China (61371113, 61601248)

  • 摘要: 为提高次用户接入业务端到端传输性能,该文提出通过感知节点检测性能和业务类型的频谱检测与资源分配联合优化方法。首先,将上周期全局检测性能构造的有效检测指数作为调节权值,计算信道状态自适应协作门限,据此选择协作模式,以最大化有效检测区间,并根据频带稳定性和有效性特征构造可用频谱空间。随后,基于业务请求接入速率将接入业务分为时延敏感业务和可靠性敏感业务两类,通过业务属性匹配的频谱分配算法提高接入业务的端到端传输成功率。仿真显示,在不同信道状态下,所提算法通过自适应调整全局检测性能扩大了Rayleigh衰落信道的有效频谱检测区间,降低了时延敏感业务的中断概率。
  • 岳文静, 郑宝玉, 孟庆民, 等. 衰落信道下提高协作频谱感知能力的方法[J]. 中国科学: 信息科学, 2011, 41(2): 207-218.
    YUE Wenjing, ZHENG Baoyu, MENG Qingmin, et al. Robust cooperative spectrum sensing schemes for fading channels in cognitive radio networks[J]. Scientia Sinica: Informationis, 2011, 41(2): 207-218.
    MASOTA M T, MZYECE M, and NTLATLAPA N. Spectrum decision in cognitive radio networks: A survey[J]. IEEE Communications Surveys Tutorials, 2013, 15(3): 1088-1107. doi: 10.1109/SURV.2012.111412.00160.
    OMER A E. Review of spectrum sensing techniques in cognitive radio netwoks[C]. International Conference on Computing, Control, Networking, Electronics Embedded Systems Engineering, Khartoum, Sudan, 2015: 439-446. doi: 10.1109/ICCNEEE.2015.7381409.
    SOBRON I, DINIZ P S R, MARTINS W A, et al. Energy detection technique for adaptive spectrum sensing[J]. IEEE Transactions on Communications, 2015, 63(3): 617-627. doi: 10.1109/TCOMM.2015.2394436.
    NALLAGONDA S, ROY S D, and KUNDU S. Combined diversity and improved energy detection in cooperative spectrum sensing with faded reporting channels[J]. Journal of King Saud University - Computer and Infromation Sciences, 2016, 28(2): 170-183. doi: 10.1016/j.jksuci.2014.04.009.
    LEE Dongjun. Adaptive random access for cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2015, 14(2): 831-840. doi: 10.1109/TWC.2014.2360857.
    于美婷, 赵林靖, 李钊. 基于DS证据理论的协作频谱感知改进方法[J]. 通信学报, 2014, 35(3): 168173. doi: 10.3969/ j.issn.1000-436x.2014.03.019.
    YU Meiting, ZHAO Linjing, and LI Zhao. Improved cooperative spectrum sensing scheme based on Dempster-Shafer theory in cognitive radio network[J]. Journal on Communications, 2014, 35(3): 168-173. doi: 10.3969/j.issn.1000-436x.2014.03.019.
    XU Yuhua, ALAGAN A, WU Qihui, 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. doi: 10.1109/ SURV.2013.030713.00189.
    JANATIAN N, HASHEMI M M, and SUN Sumei. Joint versus separate spectrum sensing and resource allocation in OFDMA-based cognitive radio networks[J]. IET Communications, 2015, 10(7): 839-847. doi: 10.1049/iet-com. 2015.0912.
    RAKOVIC K, DENKOVSKI D, ATANASOVSKI V, et al. Capacity-aware cooperative spectrum sensing based on noise power estimation[J]. IEEE Transactions on Communications, 2015, 63(7): 2428-2441. doi: 10.1109/TCOMM.2015.2433297.
    刘俊彤, 王可人, 张兴良, 等. 基于不同需求等级改进的动态频谱分配算法[J]. 探测与控制学报, 2014, 36(1): 3236.
    LIU Juntong, WANG Keren, ZHANG Xingliang, et al. Improved dynamic spectrum allocation algorithm based on different levels of service demand[J]. Journal of Detection Control, 2014, 36(1): 32-36.
    金顺福, 解洪亭, 赵媛. 带有组间切换的认知无线网络混合式信道分配策略及性能研究[J]. 通信学报, 2013, 34(12): 11-19. doi: 10.3969/jSssn.1000-436x.2013.12.002.
    JIN Shunfu, XIE Hongting, and ZHAO Yuan. Hybrid channel allocation strategy with group switching and performance evaluation in cognitive radio network[J]. Journal on Communications, 2013, 34(12): 11-19. doi: 10.3969/jSssn. 1000-436x.2013.12.002.
    ZHAO Nan. Joint optimization of cooperative spectrum sensing and resource allocation in multi-channel cognitive radio sensor networks[J]. Circuits, Systems, and Signal Processing, 2016, 35(7): 2563-2583. doi: 10.1007/s00034-015-0153-9.
    KHALD L and ANPALAGAN A. Adaptive assignment of heterogeneous users for group-based cooperative spectrum sensing[J]. IEEE Transactions on Wireless Communications, 2016, 15(1): 232-246. doi: 10.1109/TWC.2015.2469667.
    RAHMAN D M, YOUSOF N, and KAUSHIK R C. Spectrum allocation and QoS provisioning framework for cognitive radio with heterogeneous service classes[J]. IEEE Transactions on Wireless Communications, 2014, 13(7): 3938-3950. doi: 10.1109/TWC.2014.2319307.
    ZAMEN B, ABBAS Z H, and LI F Y. Spectrum occupancy and residual service analysis in CRNs using a multi-server queueing model[C]. IEEE 81st Vehicular Technology Conference, Glasgow, Scotland, 2015: 1-5. doi: 10.1109/VTCSpring.2015. 7146102.
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出版历程
  • 收稿日期:  2016-06-03
  • 修回日期:  2016-11-22
  • 刊出日期:  2017-04-19

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