中国物理B ›› 2016, Vol. 25 ›› Issue (12): 128403-128403.doi: 10.1088/1674-1056/25/12/128403

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

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

Pei-Han Qi(齐佩汉), Shi-Lian Zheng(郑仕链), Xiao-Niu Yang(杨小牛), Zhi-Jin Zhao(赵知劲)   

  1. 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
  • 收稿日期:2015-01-29 修回日期:2016-07-24 出版日期:2016-12-05 发布日期:2016-12-05
  • 通讯作者: Shi-Lian Zheng E-mail:lianshizheng@126.com
  • 基金资助:

    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.

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. 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
  • Received:2015-01-29 Revised:2016-07-24 Online:2016-12-05 Published:2016-12-05
  • Contact: Shi-Lian Zheng E-mail:lianshizheng@126.com
  • Supported by:

    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.

摘要:

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.

关键词: cognitive radio, power consumption, adaptation, optimization

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.

Key words: cognitive radio, power consumption, adaptation, optimization

中图分类号:  (Telecommunications: signal transmission and processing; communication satellites)

  • 84.40.Ua