Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey
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 w...
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European Alliance for Innovation (EAI)
2021
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oai:doaj.org-article:9bdcdeea141c48e8b2607a1bc0ade9512021-11-30T11:07:23ZEnergy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey2032-944X10.4108/eai.29-3-2021.169169https://doaj.org/article/9bdcdeea141c48e8b2607a1bc0ade9512021-11-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.29-3-2021.169169https://doaj.org/toc/2032-944XINTRODUCTION: 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.Suriya MuruganM. SumithraEuropean Alliance for Innovation (EAI)article5g radio networkscognitive radioenergy efficient spectrum sensingScienceQMathematicsQA1-939Electronic computers. Computer scienceQA75.5-76.95ENEAI Endorsed Transactions on Energy Web, Vol 8, Iss 36 (2021) |
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5g radio networks cognitive radio energy efficient spectrum sensing Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95 |
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5g radio networks cognitive radio energy efficient spectrum sensing Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95 Suriya Murugan M. Sumithra Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
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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. |
format |
article |
author |
Suriya Murugan M. Sumithra |
author_facet |
Suriya Murugan M. Sumithra |
author_sort |
Suriya Murugan |
title |
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
title_short |
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
title_full |
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
title_fullStr |
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
title_full_unstemmed |
Energy Efficient Cognitive Radio Spectrum Sensing for 5G Networks – A Survey |
title_sort |
energy efficient cognitive radio spectrum sensing for 5g networks – a survey |
publisher |
European Alliance for Innovation (EAI) |
publishDate |
2021 |
url |
https://doaj.org/article/9bdcdeea141c48e8b2607a1bc0ade951 |
work_keys_str_mv |
AT suriyamurugan energyefficientcognitiveradiospectrumsensingfor5gnetworksasurvey AT msumithra energyefficientcognitiveradiospectrumsensingfor5gnetworksasurvey |
_version_ |
1718406699940839424 |