ew 18: e8

Research Article

Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey

Download321 downloads
  • @ARTICLE{10.4108/eai.29-3-2021.169169,
        author={Suriya Murugan and M. G. Sumithra},
        title={Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks -- A Survey},
        journal={EAI Endorsed Transactions on Energy Web: Online First},
        keywords={5G radio networks, cognitive radio, energy efficient spectrum sensing},
  • Suriya Murugan
    M. G. Sumithra
    Year: 2021
    Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey
    DOI: 10.4108/eai.29-3-2021.169169
Suriya Murugan1,*, M. G. Sumithra2
  • 1: Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai - 600 062, Tamil Nadu, India
  • 2: Professor, KPR Institute of Engineering and Technology, Coimbatore - 641 407, Tamil Nadu, India
*Contact email: suriya13.ms@gmail.com


INTRODUCTION: Recently, the role of Artificial Intelligence plays a major role in the communication sector. As the revolution of spectrum and its standards is progressing towards 5G networks and beyond, there is a rapid innovation in design of 5G compatible gadgets in order to incorporate evolving wireless spectrum standards. Cognitive radio is an intelligent technology that can efficiently handle the radio spectrum usage.

OBJECTIVES: Researchers have been working since its inception to use this revolutionary technology in the management of the radio spectrum for both terrestrial and satellite communication. For 5G networks, research works focus on enabling efficient utilization of its features like extreme broadband, ultra-low latency communication, and ultra reliable connectivity for connected devices.

CONCLUSION: In this paper, energy efficient spectrum sensing schemes and challenges of 5G networks are explored and this review will assist any researcher/service provider/mobile communication sector to quickly select and apply relevant energy efficient spectrum sensing techniques using dynamic intelligent cognitive radio technology to incorporate either Co-operative, Non-Cooperative or Interference based techniques based on their application to show how conventional energy efficient spectrum sensing techniques used in cognitive radio networks can be efficiently applied to 5G terrestrial applications.