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

Wanming Hao, Osamu Muta, Haris Gacanin, Hiroshi Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PublisherAssociation for Computing Machinery
Pages257-261
Number of pages5
ISBN (Electronic)9781450347938
DOIs
Publication statusPublished - Dec 17 2016
Event5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, Japan
Duration: Dec 17 2016Dec 21 2016

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Network, Communication and Computing, ICNCC 2016
CountryJapan
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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  • Cite this

    Hao, W., Muta, O., Gacanin, H., & Furukawa, H. (2016). Energy-efficient resource allocation for cooperative cognitive radio networks with imperfect spectrum sensing. In Proceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016 (pp. 257-261). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3033288.3033324