Antenna beamforming for energy harvesting in cognitive radio networks

Huidong Liu, Jin Chen, Guoru Ding, Theodoros A. Tsiftsis, Corbett Rowell

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

1 Citation (Scopus)

Abstract

In this paper, a cooperative cognitive radio network (CRN) with energy harvesting capabilities of its secondary users is considered. Specifically, cooperative spectrum sensing and multi-antenna beamforming are employed to improve the sensing performance and the energy transfer efficiency, respectively. In our approach, a homogeneous CRN scenario is studied where the optimal sensing probability of each second user (SU) is obtained to maximize the control center (CC) throughput while satisfying the energy causality and primary user (PU) collision constraints. An iterative algorithm is proposed to obtain the optimal charging time. Numerical results depict that in an energy constrained scenario, cooperative spectrum sensing with beamforming performs much better than cooperative spectrum sensing without beamforming in terms of increased system throughput.

Original languageEnglish
Title of host publication2016 IEEE MTT-S International Wireless Symposium, IWS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509006960
DOIs
Publication statusPublished - Oct 6 2016
Event2016 IEEE MTT-S International Wireless Symposium, IWS 2016 - Shanghai, China
Duration: Mar 14 2016Mar 16 2016

Other

Other2016 IEEE MTT-S International Wireless Symposium, IWS 2016
CountryChina
CityShanghai
Period3/14/163/16/16

Keywords

  • cognitive radio networks
  • Cooperative spectrum sensing
  • energy beam-forming
  • energy cooperation
  • energy harvesting

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation

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  • Cite this

    Liu, H., Chen, J., Ding, G., Tsiftsis, T. A., & Rowell, C. (2016). Antenna beamforming for energy harvesting in cognitive radio networks. In 2016 IEEE MTT-S International Wireless Symposium, IWS 2016 [7585472] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEE-IWS.2016.7585472