利用自主策略机制实现联合无线资源管理

doi:10.3969/j.issn.1001-2400.2012.06.002

J4 ›› 2012, Vol. 39 ›› Issue (6): 10-15+33.doi: 10.3969/j.issn.1001-2400.2012.06.002

利用自主策略机制实现联合无线资源管理

张文柱;周晓倩;冯成晓

(西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071)

收稿日期:2012-04-09 出版日期:2012-12-20 发布日期:2013-01-17
通讯作者: 张文柱
作者简介:张文柱(1970-)，男，副教授，博士，E-mail: wzzhang1@mail.xidian.edu.cn．
基金资助:
国家自然科学基金资助项目(61072068);国家重点基础研究发展计划(973计划)课题资助项目(2009CB320404);国家杰出青年科学基金资助项目(60725105);长江学者和创新团队发展计划资助项目(IRT0852)

Joint radio resource management mechanism based on the autonomous policy strategy

ZHANG Wenzhu;ZHOU Xiaoqian;FENG Chengxiao

(State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an 710071， China)

Received:2012-04-09 Online:2012-12-20 Published:2013-01-17
Contact: ZHANG Wenzhu

摘要/Abstract

摘要：

提出了一种基于案例推理的最优策略产生方法，用于异构无线网络系统自主高效的无线资源管理及优化．该方法利用案例检索与匹配算法，从案例库中寻找最合适的再用策略;利用基于相似度概率的策略再用算法，改进新策略学习的效率和质量; 应用贪婪算法，产生没有可用案例情况下的应对策略．此外，该方法在学习的基础上对策略案例库进行实时的更新．仿真结果表明，该算法具有高效的在线学习能力，能够有效提升网络在频谱效用和阻塞率方面的性能，实现自主的无线资源管理．

关键词: 最优策略, 异构无线网络, 无线资源管理, 频谱效用

Abstract:

A case-based reasoning approach for generating the optimal policy is presented, which can be used for radio resource management and optimization in an autonomous and efficient mode in heterogeneous wireless networks. It searches for the most appropriate reuse policy in the case library by utilizing case retrieval and matching algorithms, and improves the new policy’s efficiency and quality of learning by utilizing the policy reusing algorithm based on the probability of similarity. The approach also introduces the greedy algorithm for generating coping policies when there is no case available. In addition, it updates in real time the policy case library based on learning. Simulation results show that the proposed approach owns efficient online learning ability, and can effectively improve the network blocking rate together with spectrum utility performance. It achieves the autonomous management of radio resources.

Key words: optimal strategy, heterogeneous wireless networks, radio resource management, spectrum utility

中图分类号:

TN393

张文柱;周晓倩;冯成晓. 利用自主策略机制实现联合无线资源管理[J]. J4, 2012, 39(6): 10-15+33.

ZHANG Wenzhu;ZHOU Xiaoqian;FENG Chengxiao. Joint radio resource management mechanism based on the autonomous policy strategy[J]. J4, 2012, 39(6): 10-15+33.

参考文献

［1］ Murata Y, Hasegawa M, Murakami H, et al. The Architecture and a Business Model for the Open Heterogeneous Mobile Network ［J］. IEEE Communications Magazine, 2009, 47(5): 95-101.
［2］ Perez R J, Sallent O, Agusti R, et al. Radio Resource Management Strategies in UMTS ［M］. Hoboken: John Wiley ＆ Sons, 2005.
［3］ Choi Y H, Kim H, Han S W, et al. Joint Resource Allocation for Parallel Multi-Radio Access in Heterogeneous Wireless Networks ［J］. IEEE Trans on Wireless Communications, 2010, 9(11): 3324-3329.
［4］ Ai X L, Zhou W N, Xie B, et al. Network Selection Issue in Heterogeneous Wireless Environment ［C］//2010 IEEE Wireless Communications and Networking Conference. Sydney: IEEE Press, 2010: 1-6.
［5］ Rizvi S, Aziz A, Saad N M, et al. A Comparative Analysis of Integration Schemes for UMTS and WLAN Networks ［C］//2010 IEEE Asia Pacific Conference on Circuits and Systems. Kuala Lumpur: IEEE Press, 2010: 92-95.
［6］ Zhou K N, Tat M L. Joint Spectrum Sharing and Power Allocation for Secondary Users in Cognitive Radio Networks ［C］//2011 IEEE Wireless Communications and Networking Conference. Cancun: IEEE Press, 2011: 1915-1919.
［7］ Yang S F, Wu J S. Fuzzy Based Joint Radio Resource Management Ii Heterogeneous Wireless Networks ［C］//13th Asia-Pacific Network Operations and Management Symposium. Taipei: IEEE Press, 2011: 1-4.
［8］ Horrich S, Ben J S, Houze P. Policy Based RRM for Network-Terminal Decision Sharing ［J］. IEEE Vehicular Technology Magazine, 2007, 2(3): 35-40.
［9］ Yavatkar R, Pendarakis D, Guerin R, et al. A Framework for Policy-based Admission Control ［EB/OL］. ［2011-08-30］. http://www.ietf.org/rfc/rfc2753.
［10］史忠植. 高级人工智能［M］. 北京: 科学出版社, 2006: 106-152.
［11］ Watkins C J C H, Dayan P. Q-learning ［J］. Machine Learning, 1992, 8(3): 279-292.
［12］ Radunovic B, Boudec J Y. Rate Performance Objective of Multihop Wireless Network ［J］. IEEE Trans on Mobile Computing, 2004, 3(4): 334-349.

[1]	冯晓峰;祁飞;吕宗庭. 异构无线网络联合呼叫接纳控制优化算法[J]. J4, 2013, 40(5): 194-199.
[2]	张文柱;邵丽娜. 异构无线网络中基于强化学习的频谱管理算法[J]. J4, 2011, 38(4): 32-37.
[3]	赵永辉;史浩山. 一种无线传感器网络数据包转发的博弈论算法[J]. J4, 2010, 37(6): 1125-1131.
[4]	王亚楠;夏海轮;冯春燕. 异构网络中多媒体业务的联合呼叫接纳控制[J]. J4, 2010, 37(5): 953-959.

利用自主策略机制实现联合无线资源管理

Joint radio resource management mechanism based on the autonomous policy strategy

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

Metrics

本文评价

推荐阅读 0