Optimization spectrum decision parameters in CR using autonomously search algorithm
文献类型:会议论文
作者 | Li YC(李永程)![]() |
出版日期 | 2016 |
会议名称 | 2016 IEEE 13th International Conference on Signal Processing (ICSP) |
会议日期 | November 6-10, 2016 |
会议地点 | Chengdu, China |
关键词 | Cognitive Engine Bio-inspired Computing Cognitive Radio Automously Search Algorithm multi-objective optimization problem |
页码 | 1146-1151 |
通讯作者 | 申海 |
中文摘要 | In order to solve the contradiction between wireless communication service demand and spectrum resource shortage and enhance the utilization rate of spectrum, Cognitive Radio technology is necessary. Firstly, this paper presents a cognitive engine framework structure, and then the concept of bio-inspired and its application in CR computing were emphatically introduced. Finally, in order to solve spectrum parameters problem, this paper proposed based on autonomously search algorithm. Based on population evolution, ASA algorithm employs the foraging, reproduction, selection and mutation operators, and was tested under the multicarrier simulation environment. The experiment results show that ASA algorithm can better adjust each subcarrier communication parameters according to the requirement of cognitive engine parameters optimization, which include transmitted power, modulation mode, and bit-error-rate and so on, and finally satisfy the channel condition and the dynamic changes of the user service. |
收录类别 | EI |
产权排序 | 2 |
会议录 | 2016 IEEE 13th International Conference on Signal Processing (ICSP)
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会议录出版者 | IEEE |
会议录出版地 | New York |
语种 | 英语 |
ISSN号 | 2164-5221 |
ISBN号 | 978-1-5090-1344-9 |
源URL | [http://ir.sia.cn/handle/173321/20286] ![]() |
专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
推荐引用方式 GB/T 7714 | Li YC,Shen H,Wang, Manxi. Optimization spectrum decision parameters in CR using autonomously search algorithm[C]. 见:2016 IEEE 13th International Conference on Signal Processing (ICSP). Chengdu, China. November 6-10, 2016. |
入库方式: OAI收割
来源:沈阳自动化研究所
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