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作 者:张煜培[1] 赵知劲[1,2] 郑仕链[2] ZHANG Yupei;ZHAO Zhijin;ZHENG Shilian(School of Telecommunication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China;State Key Lab of Information Control Technology in Communication System,The 36th Research Institute of China Electronic Technology Group Corporation,Jiaxing,Zhejiang 314001,China)
机构地区:[1]杭州电子科技大学通信工程学院,杭州310018 [2]中国电子科技集团公司第36研究所通信系统信息控制技术国家级重点实验室,浙江嘉兴314001
出 处:《计算机工程》2019年第2期122-128,共7页Computer Engineering
基 金:国家部委基金
摘 要:信道容量与切换时延是次级用户选择目标信道的2个重要性能指标,目前的目标信道设计方法多数没有同时考虑这2个指标,存在一定的局限性。为此,基于多目标遗传算法,提出2种综合考虑累积时延和信道容量的目标信道序列设计算法:离散非支配排序遗传算法和离散的基于Pareto包络选择算法,并设计离散的种群编码和更新方式。仿真结果表明,与传统随机顺序访问方法相比,所提算法的信道容量提高24%以上,时延减少9%,能够兼顾网络实时性和高吞吐率。Channel capacity and handoff delay are two important performance indicators for secondary users to select target channel.Most of the current target channel design methods do not consider these two indicators at the same time,and there are certain limitations.Therefore,this paper proposes two kinds of target channel design algorithms based on handoff delay and channel capacity basedon multi-objective Genetic Algorithm(GA):Discrete Non-dominated Sorting Genetic Algorithm(DNSGA-Ⅱ)and Discrete Pareto Envelope-based Selection Algorithm(DPESA-Ⅱ).The discret population coding and updating mode are given.Simulation results show that compared with the traditional random sequential access methods,the capacity of the proposed algorithm is higher than 24 % and delay is reduced by more than 9 %,which can balance the real-time and high throughput of the network.
关 键 词:多目标优化 频谱切换 目标信道序列 累积时延 信道容量 遗传算法
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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