Research Article
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey
@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}, volume={8}, number={36}, publisher={EAI}, journal_a={EW}, year={2021}, month={3}, keywords={5G radio networks, cognitive radio, energy efficient spectrum sensing}, doi={10.4108/eai.29-3-2021.169169} }
- Suriya Murugan
M. G. Sumithra
Year: 2021
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey
EW
EAI
DOI: 10.4108/eai.29-3-2021.169169
Abstract
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.
Copyright © 2021 Suriya Murugan et al., licensed to EAI . This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.