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Chin. Phys. B, 2016, Vol. 25(12): 128403    DOI: 10.1088/1674-1056/25/12/128403
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Cognitive radio adaptation for power consumption minimization using biogeography-based optimization

Pei-Han Qi(齐佩汉)1, Shi-Lian Zheng(郑仕链)1,2, Xiao-Niu Yang(杨小牛)1,2, Zhi-Jin Zhao(赵知劲)3
1. School of Telecommunications Engineering, Xidian University, Xi'an 710071, China;
2. Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China;
3. School of Telecommunications, Hangzhou Dianzi University, Hangzhou 310018, China
Abstract  

Adaptation is one of the key capabilities of cognitive radio, which focuses on how to adjust the radio parameters to optimize the system performance based on the knowledge of the radio environment and its capability and characteristics. In this paper, we consider the cognitive radio adaptation problem for power consumption minimization. The problem is formulated as a constrained power consumption minimization problem, and the biogeography-based optimization (BBO) is introduced to solve this optimization problem. A novel habitat suitability index (HSI) evaluation mechanism is proposed, in which both the power consumption minimization objective and the quality of services (QoS) constraints are taken into account. The results show that under different QoS requirement settings corresponding to different types of services, the algorithm can minimize power consumption while still maintaining the QoS requirements. Comparison with particle swarm optimization (PSO) and cat swarm optimization (CSO) reveals that BBO works better, especially at the early stage of the search, which means that the BBO is a better choice for real-time applications.

Keywords:  cognitive radio      power consumption      adaptation      optimization  
Received:  29 January 2015      Revised:  24 July 2016      Published:  05 December 2016
PACS:  84.40.Ua (Telecommunications: signal transmission and processing; communication satellites)  
Fund: 

Project supported by the National Natural Science Foundation of China (Grant No. 61501356), the Fundamental Research Funds of the Ministry of Education, China (Grant No. JB160101), and the Postdoctoral Fund of Shaanxi Province, China.

Corresponding Authors:  Shi-Lian Zheng     E-mail:  lianshizheng@126.com

Cite this article: 

Pei-Han Qi(齐佩汉), Shi-Lian Zheng(郑仕链), Xiao-Niu Yang(杨小牛), Zhi-Jin Zhao(赵知劲) Cognitive radio adaptation for power consumption minimization using biogeography-based optimization 2016 Chin. Phys. B 25 128403

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