分层认知无线电网络中基于稳定匹配的资源分配算法

曹龙; 赵杭生; 鲍丽娜; 张建照

doi:10.11999/JEIT151460

分层认知无线电网络中基于稳定匹配的资源分配算法

doi: 10.11999/JEIT151460

基金项目:

国家自然科学基金(61471395, 61471392, 61301161)，江苏省自然科学基金(BK20141070)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-12-24
- 修回日期: 2016-05-26
- 刊出日期: 2016-10-19

Resource Allocation Algorithm Based on Stable Matching in Hierarchical Cognitive Radio Networks

Funds:

The National Natural Science Foundation of China (61471395, 61471392, 61301161), The Natural Science Foundation of Jiangsu Province (BK20141070)

摘要

摘要: 频谱资源的合理分配是认知无线电技术追求的目标之一，随着认知无线电网络中的次用户(SUs)数量不断增加，频谱资源的精确、实时分配与管控越来越难以实现。针对此问题，该文提出一种分层的认知无线电网络(CRN)架构，多个管理实体专注于为各层用户提供频谱服务；并在该架构下，提出一种基于稳定匹配的资源分配算法，用户通过自主协商形成分配结果，不仅保证了主用户(PUs)对次用户的功率限制，还充分考虑了各自的效用。仿真结果表明，所提算法的性能接近于最优方案，并降低了计算复杂度和系统时延。
- 认知无线电 /
- 资源分配 /
- 匹配理论 /
- 稳定匹配 /
- 最优化
Abstract: The rational spectrum resource allocation is one of the goals of Cognitive Radio (CR) technology. With the rapid increase of Secondary Users (SUs) numbers, the precise and real-time management becomes more and more difficult to achieve. In order to solve this problem, a hierarchical Cognitive Radio Network (CRN) architecture that several administration entities focus on providing spectrum services for users of variety tiers is proposed. The corresponding resource allocation algorithm based on stable matching in this architecture is also given. This algorithm guarantees the restriction on SUs transmission power for Primary Users (PUs), and also considers both utility functions of users. Simulation results demonstrate that the proposed method can roughly achieve the same performance of optimal solution with lower computation complexity and system delay.
- Cognitive Radio (CR) /
- Resource allocation /
- Matching theory /
- Stable matching /
- Optimization

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参考文献(21)

OSSEIRAN A, BRAUN V, HIDEKAZU T, et al. The foundation of the mobile and wireless communications system for 2020 and beyond: challenges, enablers and technology solutions[C]. IEEE Vehicular Technology Conference, Dresden, 2013: 1-5. doi: 10.1109/VTCSpring.2013.6692781.

AHMAD A, AHMAD S, REHMANI M H, et al. A survey on radio resource allocation in cognitive radio sensor networks[J]. IEEE Communications Surveys Tutorials, 2015, 17(2): 888-917. doi: 10.1109/COMST.2015.2401597.

VASSAKI S, POULAKIS M I, and PANAGOPOULOS A D. Spectrum leasing in cognitive radio networks: a matching theory approach[C]. IEEE Vehicular Technology Conference, Glasgow, 2015: 1-5. doi: 10.1109/VTCSpring.2015.7146101.

MITOLA J, GUERCI J, REED J, et al. Accelerating 5G QoE via public-private spectrum sharing[J]. IEEE Communications Magazine, 2014, 52(5): 77-85. doi: 10.1109/ MCOM.2014.6815896.

MUSAVIAN L and AISSA S. Capacity and power allocation for spectrum sharing communications in fading channels[J]. IEEE Transactions Wireless Communications, 2009, 8(1): 148-156. doi: 10.1109/TWC.2009.070265.

ASGHARI V and AISSA S. Adaptive rate and power transmission in spectrum-sharing systems[J]. IEEE Transactions Wireless Communications, 2010, 9(10): 3272-3280. doi: 10119/TWC.2010.090210.100291.

ZHOU X, LI G Y, LI D, et al. Probabilistic resource allocation for opportunistic spectrum access[J]. IEEE Transactions Wireless Communications, 2010, 9(9): 2870-2879. doi: 10119/ TWC.2010.070610.091511.

潘甦, 曹跑跑, 刘胜美. 一种多无线电系统中基于公平性和精细化带宽分配的资源分配算法[J]. 电子与信息学报, 2015, 37(2): 399-404. doi: 10.11999/ JEIT140339.

PAN S, CAO P, and LIU S. A resource allocation algorithm based on proportional fairness and refined bandwidth allocation for multi-radio systems[J]. Journal of Electronics Information Technology, 2015, 37(2): 399-404. doi: 10.11999/ JEIT140339.

XU Y, ANPALAGAN A, WU Q, 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.

IEEE 1900.5-2011. Standard for policy language requirements and system architectures for dynamic spectrum access (DSA) systems [S]. 2011.

Al-Ali A K, SUN Y, FELICE M D, et al. Accessing spectrum databases using interference alignment in vehicular cognitive radio networks[J]. IEEE Transactions on Vehicular Technology, 2015, 64(1): 263-272. doi: 10.1109/TVT.2014. 2318837.

CHEN X and HUANG J. Database-assisted distributed spectrum sharing[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(11): 2349-2361. doi: 10.1109/ JSAC.2013.131110.

GOLDSMITH A, JAFAR S A, MARIC I, et al. Breaking spectrum gridlock with cognitive radios: an information theoretic perspective[J]. Proceedings of the IEEE, 2009, 97(5): 894-914. doi: 10.1109/JPROC.2009.2015717.

PAPADIMITRIOU C H and STEIGLITZ K. Combinatorial Optimization: Algorithms and Complexity[M]. New York, USA, Dover Press, 1998: 248-255.

GUSFIELD D and IRVING R W. The Stable Marriage Problem: Structure and Algorithms[M]. Cambridge, MA, USA, MIT Press, 1989: 1-8.

GALE D and SHAPLEY L S. College admissions and the stability of marriage[J]. The American Mathematical Monthly, 1962, 69(1): 9-15. doi: 10.2307/2312726.

GU Y, SAAD W, BENNIS M, et al. Matching theory for future wireless networks: fundamentals and applications[J]. IEEE Communications Magazine, 2015, 53(5): 52-59. doi: 10.1109/ MCOM.2015.7105641.

JORSWIECK E. Stable matchings for resource allocation in wireless networks[C]. International Conference on Digital Signal Processing (DSP), Corfu, 2011: 1-8. doi: 10.1109/ ICDSP.2011.6004983.

NAEEM M, ANPALAGAN A, JASEEMUDDIN M, et al. Resource allocation techniques in cooperative cognitive radio networks[J]. IEEE Communications Surveys Tutorials, 2014, 16(2): 729-744. doi: 10.1109/SURV.102313.00272.

MANLOVE D F. Algorithmics of Matching Under Preferences[M]. Singapore, World Scientific Press, 2013: 1-47.

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