Energy-efficient resource allocation for cooperative cognitive radio networks with imperfect spectrum sensing

Wanming Hao, Osamu Muta, Haris Gacanin, Hiroshi Furukawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Energy-efficient resource allocation is considered for cognitive cooperative radio networks (CCRNs) with imperfect spectrum sensing. The optimization problem of maximizing energy efficiency (EE) is formulated over the transmission power and sensing time subject to some practical limitations, such as the individual power constraint for secondary source and relay, the quality of service (QoS) for the secondary system, and effective protection for the primary user (PU). Given the complexity of this problem, two simplified versions (i.e., perfect and imperfect sensing cases) are studied in this paper. We transform the considered problem in fractional form into an equivalent optimization problem in subtractive form. Then, for perfect sensing, the Lagrange dual decomposition and iterative algorithm are applied to acquire the optimal power allocation policy; for imperfect sensing, an exhaustive search and iterative algorithm are proposed to obtain the optimal sensing time and corresponding power allocation. Finally, numerical results show that the EE design greatly improves EE compared with the conventional spectrum-efficient design.

本文言語英語
ホスト出版物のタイトルProceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
出版社Association for Computing Machinery
ページ257-261
ページ数5
ISBN(電子版)9781450347938
DOI
出版ステータス出版済み - 12 17 2016
イベント5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, 日本
継続期間: 12 17 201612 21 2016

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他5th International Conference on Network, Communication and Computing, ICNCC 2016
Country日本
CityKyoto
Period12/17/1612/21/16

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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