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

作　　者：Thulasiraman Balachander Kadiyala Ramana Rasineni Madana Mohana Gautam Srivastava Thippa Reddy Gadekallu 

机构地区：[1]SRM Institute of Science and Technology,Tamil Nadu 603203,India [2]Lebanese American University,Beirut 1102,Lebanon,and also with Chaitanya Bharathi Institute of Technology,Hyderabad 500075,India [3]Chaitanya Bharathi Institute of Technology,Hyderabad 500075,India [4]Brandon University,Brandon,R7A 0A1,Canada,China,Medical University,Taichung 404327,China,and Lebanese American University,Beirut 1102,Lebanon [5]Department of Electrical and Computer Engineering,Lebanese American University,Beirut 1102,Lebanon

出　　处：《Tsinghua Science and Technology》2024年第3期698-720,共23页清华大学学报（自然科学版（英文版）

摘　　要：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.

关 键 词：cooperative spectrum sensing cognitive radio network Internet of Things offset quadratureamplitude modulation universal filtered multi-carrier non-orthogonal multiple access 

分 类 号：TN925[电子电信—通信与信息系统]