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Cognitive radio networks for green wireless communications: an overview

Author

Listed:
  • Arash Ostovar

    (University of Sistan and Baluchestan)

  • Hengameh Keshavarz

    (University of Sistan and Baluchestan)

  • Zhi Quan

    (Shenzhen University)

Abstract

As power consumption results in greenhouse gas emissions and energy costs for operators, analyzing power consumption in wireless networks and portable devices is of crutial importance. Due to environmental effects resulted from energy generation and exploitation as well as the cost of surging energy, energy-aware wireless systems attract unprecedented attention. Cognitive Radio (CR) is one of the optimal solutions that allows for energy savings on both the networks and devices. Thus, cognitive radio contributes to increase spectral and energy efficiency as well as reduction in power consumption. In addition, energy consumption of the CR technologies as intelligent technology should be considered to realize the green networks objective. In this article, we look into energy efficiency of the cognitive wireless network paradigms. Moreover, energy efficiency analysis and modelling in these systems are specifically focused on achieving green communications objectives. However, CRs by altering all elements of wireless data communications are considered in this paper, and the energy-efficient operation and energy efficiency enabler perspectives of CRs are also analyzed.

Suggested Citation

  • Arash Ostovar & Hengameh Keshavarz & Zhi Quan, 2021. "Cognitive radio networks for green wireless communications: an overview," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(1), pages 129-138, January.
    • Handle: RePEc:spr:telsys:v:76:y:2021:i:1:d:10.1007_s11235-020-00703-8
    DOI: 10.1007/s11235-020-00703-8
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    Cited by:

    1. Evsey Morozov & Stepan Rogozin & Hung Q. Nguyen & Tuan Phung-Duc, 2022. "Modified Erlang Loss System for Cognitive Wireless Networks," Mathematics, MDPI, vol. 10(12), pages 1-20, June.

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