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Tsinghua Science and Technology 2024, 29(3): 698-720 https://doi.org/10.26599/TST.2023.9010065
Open Access | Issue | Published: 04 December 2023

Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication

Show Author's Information Thulasiraman Balachander1,  Kadiyala Ramana2,  Rasineni Madana Mohana3,  Gautam Srivastava4( ),  Thippa Reddy Gadekallu5
SRM Institute of Science and Technology, Tamil Nadu 603203, India
Lebanese American University, Beirut 1102, Lebanon, and also with Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India
Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India
Brandon University, Brandon, R7A 0A1, Canada, China Medical University, Taichung 404327, China, and Lebanese American University, Beirut 1102, Lebanon
Department of Electrical and Computer Engineering, Lebanese American University, Beirut 1102, Lebanon
Keywords:
Internet of Things, cooperative spectrum sensing, cognitive radio network, offset quadrature amplitude modulation, universal filtered multi-carrier, non-orthogonal multiple access
Cite this article:
Balachander T, Ramana K, Mohana RM, et al. Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication. Tsinghua Science and Technology, 2024, 29(3): 698-720. https://doi.org/10.26599/TST.2023.9010065
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Abstract Full text About this article

Recently, Cooperative Spectrum Sensing (CSS) for Cognitive Radio Networks (CRN) plays a significant role in efficient 5G wireless communication. Spectrum sensing is a significant technology in CRN to identify underutilized spectrums. The CSS technique is highly applicable due to its fast and efficient performance. 5G wireless communication is widely employed for the continuous development of efficient and accurate Internet of Things (IoT) networks. 5G wireless communication will potentially lead the way for next generation IoT communication. CSS has established significant consideration as a feasible resource to improve identification performance by developing spatial diversity in receiving signal strength in IoT. In this paper, an optimal CSS for CRN is performed using Offset Quadrature Amplitude Modulation Universal Filtered Multi-Carrier Non-Orthogonal Multiple Access (OQAM/UFMC/NOMA) methodologies. Availability of spectrum and bandwidth utilization is a key challenge in CRN for IoT 5G wireless communication. The optimal solution for CRN in IoT-based 5G communication should be able to provide optimal bandwidth and CSS, low latency, Signal Noise Ratio (SNR) improvement, maximum capacity, offset synchronization, and Peak Average Power Ratio (PAPR) reduction. The Energy Efficient All-Pass Filter (EEAPF) algorithm is used to eliminate PAPR. The deployment approach improves Quality of Service (QoS) in terms of system reliability, throughput, and energy efficiency. Our in-depth experimental results show that the proposed methodology provides an optimal solution when directly compares against current existing methodologies.


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Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication

Show Author's information Thulasiraman Balachander1, Kadiyala Ramana2, Rasineni Madana Mohana3, Gautam Srivastava4( ), Thippa Reddy Gadekallu5
SRM Institute of Science and Technology, Tamil Nadu 603203, India
Lebanese American University, Beirut 1102, Lebanon, and also with Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India
Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India
Brandon University, Brandon, R7A 0A1, Canada, China Medical University, Taichung 404327, China, and Lebanese American University, Beirut 1102, Lebanon
Department of Electrical and Computer Engineering, Lebanese American University, Beirut 1102, Lebanon

Abstract

Recently, Cooperative Spectrum Sensing (CSS) for Cognitive Radio Networks (CRN) plays a significant role in efficient 5G wireless communication. Spectrum sensing is a significant technology in CRN to identify underutilized spectrums. The CSS technique is highly applicable due to its fast and efficient performance. 5G wireless communication is widely employed for the continuous development of efficient and accurate Internet of Things (IoT) networks. 5G wireless communication will potentially lead the way for next generation IoT communication. CSS has established significant consideration as a feasible resource to improve identification performance by developing spatial diversity in receiving signal strength in IoT. In this paper, an optimal CSS for CRN is performed using Offset Quadrature Amplitude Modulation Universal Filtered Multi-Carrier Non-Orthogonal Multiple Access (OQAM/UFMC/NOMA) methodologies. Availability of spectrum and bandwidth utilization is a key challenge in CRN for IoT 5G wireless communication. The optimal solution for CRN in IoT-based 5G communication should be able to provide optimal bandwidth and CSS, low latency, Signal Noise Ratio (SNR) improvement, maximum capacity, offset synchronization, and Peak Average Power Ratio (PAPR) reduction. The Energy Efficient All-Pass Filter (EEAPF) algorithm is used to eliminate PAPR. The deployment approach improves Quality of Service (QoS) in terms of system reliability, throughput, and energy efficiency. Our in-depth experimental results show that the proposed methodology provides an optimal solution when directly compares against current existing methodologies.

Keywords: Internet of Things, cooperative spectrum sensing, cognitive radio network, offset quadrature amplitude modulation, universal filtered multi-carrier, non-orthogonal multiple access

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Received: 12 December 2022
Revised: 08 June 2023
Accepted: 17 June 2023
Published: 04 December 2023
Issue date: June 2024

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© The Author(s) 2024.

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