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基于非合作博弈论的异构网络选择算法 被引量:5

Selection Algorithm of Heterogeneous Networks Based on Non-Cooperative Game Theory
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摘要 下一代异构无线网络中,垂直切换是保证系统性能的重要手段,切换执行前的网络选择更是研究的重中之重.针对现有异构网络选择算法仅从用户或网络角度考虑,且阻塞率和掉话率较高的问题,文中提出了一种基于非合作博弈的异构网络选择算法,通过综合考虑用户偏好、业务价格和准入代价得到最佳的网络选择方案.该算法从一种新的角度定义网络选择,通过网络间的博弈对用户请求进行分配.仿真结果表明,基于非合作博弈的异构网络选择算法既能获得更低的阻塞率、掉话率,又能实现负载均衡,从而更充分地利用异构网络资源,为更多的用户服务. In next generation heterogeneous wireless networks, vertical handoff plays an important role in guaran- teeing system performance, and the network selection before vertical handoff execution is a key problem. As the existing algorithms cannot make users and networks satisfied simultaneously and possess high call blocking rate and call drop rate, a non-cooperative game theory-based selection algorithm of heterogeneous networks is proposed, which obtains the best network selection scheme by taking into account user preferences, business prices and access costs. This algorithm implements network selection from a new perspective, and allocates users' requests through the game among member networks. Simulated results show that the proposed algorithm helps not only obtain lower blo-cking rate and call drop rate but also achieve load balancing, so that it can fully utilize network resources to serve more users.
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2014年第5期29-35,共7页 Journal of South China University of Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(61101122)
关键词 通信技术 异构网络 网络选择 博弈论 网络收益 communication technology heterogeneous networks network selection game theory network payoff
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  • 1刘建华,樊晓平,瞿志华.一种惯性权重动态调整的新型粒子群算法[J].计算机工程与应用,2007,43(7):68-70. 被引量:49
  • 2Gustafsson E,Ericsson Res,Stockholm Sweden,et al.Always best connected [J]. IEEE Wireless Communi-cation,2003,10(1) :49-55.
  • 3Lahby Mohamed, Cherkaoui Leghris, Adib Abdellah.An enhanced-TOPSIS based network selection tech-nique for next generation wireless networks[C]//Pro-ceedings of International Conference on Telecommuni-cations. Casablanca,IEEE,2013:1-5.
  • 4Liu Ting, Zhu Lei,Zhang Xiaoning, et al. The verticalhandoff in heterogeneous wireless networks[C]//Pro-ceedings of 2012 IEEE 14th International Conferenceon Communication Technology. China,Chengdu,IEEE,2012 :422-426 .
  • 5Sanjay Dhar Roy, Reddy S,Vansgudgar Reddy. Signalstrength ratio based vertical handoff decision algo-rithms in integrated heterogeneous networks[J]. Wire-less Personal Communications, 2014,77 ( 4 ):2565-2585.
  • 6Antoniou Josephina,Pitsillides Andeas. 4G convergedenvironment : modeling network selection as a game[C]//Mobile and Wireless Communications Summit.Budapest, IEEE, 2007 : 1-5.
  • 7Ali Calhan,Celal Ceken. Artificial neural networkbased vertical handoff algorithm for reducing handofflatency[J], Wireless Personal Communication,2013,71(4):2399-2415.
  • 8Wang Nan, Shi Wenxiao, Fan Shaoshuai, et al. PS(>FNN-based vertical handoff decision algorithm in het-erogeneous wireless networks [ J]. Procedia Environ-mental Sciences,2011,11(3) :55-62.
  • 9徐娟娟.PSO优化神经网络算法研究及其应用[D].江苏:江苏大学,2013.
  • 10柴蓉,肖敏,唐伦,陈前斌.异构网络垂直切换性能参数分析及算法研究[J].重庆邮电大学学报(自然科学版),2010,22(1):63-70. 被引量:18

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