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Optimization spectrum decision parameters in CR using autonomously search algorithm
Li YC(李永程); Shen H(申海); Wang, Manxi
Department信息服务与智能控制技术研究室
Conference Name2016 IEEE 13th International Conference on Signal Processing (ICSP)
Conference DateNovember 6-10, 2016
Conference PlaceChengdu, China
Source Publication2016 IEEE 13th International Conference on Signal Processing (ICSP)
PublisherIEEE
Publication PlaceNew York
2016
Pages1146-1151
Indexed ByEI ; CPCI(ISTP)
EI Accession number20171403516592
WOS IDWOS:000406056300223
Contribution Rank2
ISSN2164-5221
ISBN978-1-5090-1344-9
KeywordCognitive Engine Bio-inspired Computing Cognitive Radio Automously Search Algorithm Multi-objective Optimization Problem
AbstractIn 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/20286
Collection信息服务与智能控制技术研究室
Corresponding AuthorShen H(申海)
Affiliation1.State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang, China
2.College of Physics Science and Technology, Shenyang Normal University, Shenyang, China
3.Control Theory and Control Engineering Postdoctoral Research Station, Shenyang Institute of Automation, Shenyang, China
Recommended Citation
GB/T 7714
Li YC,Shen H,Wang, Manxi. Optimization spectrum decision parameters in CR using autonomously search algorithm[C]. New York:IEEE,2016:1146-1151.
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