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基于区间Mamdani模糊推理的认知无线网络频谱迁移方案 被引量：1

Spectrum Migration Scheme Based on Interval Mamdani Fuzzy Inference in Cognitive Radio Networks
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摘要 机会式频谱接入技术虽能够有效提升认知无线网络频谱利用率,但在保障认知用户服务质量(quality of service,QoS)以及频谱资源有效利用率方面存在不足.为了提高认知用户QoS,提升认知无线网络系统性能,提出一种基于区间Mamdani模糊推理的认知无线网络频谱迁移方案.通过引入预判决方法减少不必要的数据量和系统开销.综合考虑待迁移频谱的频谱占用率以及链路维持率,并利用模糊推理计算出频谱迁移度,指导认知用户迁移至最优的频谱空穴.为了缩短模糊推理时长,提出区间Mamdani模糊推理方法.仿真结果表明,该方案能够降低认知用户业务传输的强制中断率、重传率以及频谱迁移次数,在维持较高系统吞吐量的同时,提高认知无线网络频谱资源的有效利用率. The existing opportunistic spectrum access technologies can improve spectrum resource utilization significantly, but they still have some shortcomings in guaranteeing QoS of secondary users and effective utilization probability of spectrum resource in cognitive radio networks. In order to improve QoS of secondary users in cognitive radio networks, and promote the real performance of cognitive radio networks, a new concept named spectrum migration is introduced, and a novel spectrum migration scheme based on interval Mamdani fuzzy inference is put forward. In the spectrum migration scheme, unnecessary treated data and system load can be reduced by applying pre-decision method. In addition, spectrum occupation rate and link maintenance rate of licensed spectrum are comprehensively considered as spectrum migration factors. Then, spectrum migration degree can be calculated by fuzzy inference to guide secondary users to the optimal spectrum holes. To shorten inference time, interval Mamdani fuzzy inference is proposed based on Mamdani fuzzy inference, and the twice judgments are utilized to reduce the complexity of the spectrum migration process. Simulation results show that the scheme can decrease forced termination probability, service retransmission probability and spectrum migration times of secondary users＇ service transmission, maintain a higher system throughput and improve the effective utilization probability of cognitive radio networks spectrum resource at the same time.
作者 王振东 王慧强 冯光升 吕宏武 陈晓明
机构地区 哈尔滨工程大学计算机科学与技术学院
出处 《计算机研究与发展》 EI CSCD 北大核心 2014年第3期491-501,共11页 Journal of Computer Research and Development
基金 国家自然科学基金项目(60973027) 教育部高等学校博士学科点专项科研基金项目(20122304130002 20102304120012) 中央高校基本科研业务费专项资金项目(HEUCFZ1213 HEUCF100601) 黑龙江省自然科学基金项目(F201037 ZD201102)
关键词 认知无线网络 频谱迁移 机会式频谱接入 区间Mamdani模糊推理 预判决 cognitive radio networks spectrum migration opportunistic spectrum access intervalMamdani fuzzy inference pre-decision
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献15

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共引文献16

同被引文献24

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计算机研究与发展
2014年 第3期

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