Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication
作者机构:SRM Institute of Science and TechnologyTamil Nadu 603203India Lebanese American UniversityBeirut 1102Lebanonand also with Chaitanya Bharathi Institute of TechnologyHyderabad 500075India Chaitanya Bharathi Institute of TechnologyHyderabad 500075India Brandon UniversityBrandonR7A 0A1CanadaChinaMedical UniversityTaichung 404327Chinaand Lebanese American UniversityBeirut 1102Lebanon Department of Electrical and Computer EngineeringLebanese American UniversityBeirut 1102Lebanon
出 版 物:《Tsinghua Science and Technology》 (清华大学学报(自然科学版(英文版))
年 卷 期:2024年第29卷第3期
页 面:698-720页
核心收录:
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
主 题:cooperative spectrum sensing cognitive radio network Internet of Things offset quadratureamplitude modulation universal filtered multi-carrier non-orthogonal multiple access
摘 要:Recently,Cooperative Spectrum Sensing(CSS)for Cognitive Radio Networks(CRN)plays a significant role in efficient 5G wireless *** sensing is a significant technology in CRN to identify underutilized *** 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 *** has established significant consideration as a feasible resource to improve identification performance by developing spatial diversity in receiving signal strength 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)*** of spectrum and bandwidth utilization is a key challenge in CRN for IoT 5G wireless *** 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)*** Energy Efficient All-Pass Filter(EEAPF)algorithm is used to eliminate *** deployment approach improves Quality of Service(QoS)in terms of system reliability,throughput,and energy *** in-depth experimental results show that the proposed methodology provides an optimal solution when directly compares against current existing methodologies.