COGNITIVE_RADIO_NETWORKS

作品数:193被引量:241H指数:8
导出分析报告
相关作者:沈连丰胡静宋铁成王大伟任品毅更多>>
相关机构:东南大学华中科技大学西安交通大学梧州学院更多>>
相关期刊:更多>>
相关基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家教育部博士点基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Optimal Power Control for Energy Harvesting in Green Cognitive Radio Networks
《Journal of Electronic Research and Application》2025年第1期54-60,共7页Qiliang Gong 
The integration of cognitive radio and energy has enhanced the utilization efficiency of the spectrum and promoted the application of green energy.To begin with,this paper presents the architecture of green energy-eff...
关键词:Cognitive radio SPECTRUM Green THROUGHPUT Power control 
Cognitive Jammers Assisted Covert Communication in Cognitive Radio Networks
《China Communications》2024年第9期75-89,共15页Liu Changjun Shi Jia Tie Zhuangzhuang Wang Yongchao 
supported in part by the National Natural Science Foundation of China(No.61941105,No.61901327 and No.62101450);in part by the National Natural Science Foundation for Distinguished Young Scholar(No.61825104);in part by the Fundamental Research Funds for the Central Universities(JB210109);in part by the Foundation of State Key Laboratory of Integrated Services Networks of Xidian University(ISN22-03)。
In this work,we investigate the covert communication in cognitive radio(CR)networks with the existence of multiple cognitive jammers(CJs).Specifically,the secondary transmitter(ST)helps the primary transmitter(PT)to r...
关键词:cognitive jammer cognitive radio covert communication performance analysis 
Cooperative Spectrum Sensing Deployment for Cognitive Radio Networks for Internet of Things 5G Wireless Communication
《Tsinghua Science and Technology》2024年第3期698-720,共23页Thulasiraman Balachander Kadiyala Ramana Rasineni Madana Mohana Gautam Srivastava Thippa Reddy Gadekallu 
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 ...
关键词:cooperative spectrum sensing cognitive radio network Internet of Things offset quadratureamplitude modulation universal filtered multi-carrier non-orthogonal multiple access 
Modified Black Widow Optimization-Based Enhanced Threshold Energy Detection Technique for Spectrum Sensing in Cognitive Radio Networks
《Computer Modeling in Engineering & Sciences》2024年第3期2339-2356,共18页R.Saravanan R.Muthaiah A.Rajesh 
This study develops an Enhanced Threshold Based Energy Detection approach(ETBED)for spectrum sensing in a cognitive radio network.The threshold identification method is implemented in the received signal at the second...
关键词:Cognitive radio network spectrum sensing noise uncertainty modified black widow optimization algorithm energy detection technique 
Performance Analysis of Three Spectrum Sensing Detection Techniques with Ambient Backscatter Communication in Cognitive Radio Networks
《Computer Modeling in Engineering & Sciences》2023年第10期813-825,共13页Shayla Islam Anil Kumar Budati Mohammad Kamrul Hasan Saoucene Mahfoudh Syed Bilal Hussian Shah 
the Ministry of Higher Education Malaysia for funding this research project through Fundamental Research Grant Scheme(FRGS)with Project Code:FRGS/1/2022/TK02/UCSI/02/1 and also to UCSI University.
In wireless communications, the Ambient Backscatter Communication (AmBC) technique is a promisingapproach, detecting user presence accurately at low power levels. At low power or a low Signal-to-Noise Ratio(SNR), ther...
关键词:Ambient backscatter communication cognitive radio MFDI CFDI HFDI 
AI-Driven FBMC-OQAM Signal Recognition via Transform Channel Convolution Strategy
《Computers, Materials & Continua》2023年第9期2817-2834,共18页Zeliang An Tianqi Zhang Debang Liu Yuqing Xu Gert Frølund Pedersen Ming Shen 
supported by the National Natural Science Foundation of China(Nos.61671095,61371164);the Project of Key Laboratory of Signal and Information Processing of Chongqing(No.CSTC2009CA2003).
With the advent of the Industry 5.0 era,the Internet of Things(IoT)devices face unprecedented proliferation,requiring higher communications rates and lower transmission delays.Considering its high spectrum efficiency,...
关键词:Intelligent signal recognition FBMC-OQAM industrial cognitive radio networks binary constellation diagram transform channel convolution 
Intelligent Covert Communication Design for Cooperative Cognitive Radio Network被引量:2
《China Communications》2023年第7期122-136,共15页Zan Li Jia Shi Chao Wang Danyang Wang Xiaomeng Li Xiaomin Liao 
supported by the National Natural Science Foundation of China under Grant 61825104, in part by the National Natural Science Foundation of China under Grants 61801518, 62201582;in part by the National Key R&D Program of China under Grant 2022YFC3301300;in part by the Key Research and Development Program of Shaanxi under Grant 2022KW-03;in part by the Young Talent fund of University Association for Science and Technology in Shaanxi under Grant 20210111;in part by the Natural Science Basic Research Program of Shaanxi under Grant 2022JQ-632;in part by Innovative Cultivation Project of School of Information and Communication of National University of Defense Technology under Grant YJKT-ZD-2202
Extensive research attentions have been devoted to studying cooperative cognitive radio networks(CCRNs),where secondary users(SU)providing cooperative transmissions can be permitted by primary users(PU)to use spectrum...
关键词:cognitive radio networks covert transmis-sion machine learning 
Robust beamforming for IRS-aided SWIPT in cognitive radio networks
《Digital Communications and Networks》2023年第3期645-654,共10页Zining Wang Min Lin Shupei Huang Ming Cheng Wei-Ping Zhu Yan Guo 
supported in part by the Key International Cooper-ation Research Project under Grant 61720106003;in part by NUPTSF under Grant NY220111;in part by NUPTSF under Grant NY221009;in part by the Postgraduate Research and Practice Innovation Program of Jiangsu Province under Grant KYCX22_0959.
Intelligent reflecting surface(IRS)is widely recognized as a promising technique to enhance the system perfor-mance,and thus is a hot research topic in future wireless communications.In this context,this paper propose...
关键词:Cognitive radio networks Intelligent reflecting surface Simultaneous wireless information and power TRANSFER Robust beamforming 
Efficient Resource Allocation Algorithm in Uplink OFDM-Based Cognitive Radio Networks被引量:1
《Computers, Materials & Continua》2023年第5期3045-3064,共20页Omar Abdulghafoor Musbah Shaat Ibraheem Shayea Ahmad Hamood Abdelzahir Abdelmaboud Ashraf Osman Ibrahim Fadhil Mukhlif Herish Badal Norafida Ithnin Ali Khadim Lwas 
Authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under Grant Number RGP.2/111/43;supported in part by the Agencia Estatal de Investigación,Ministerio de Ciencia e Innovación(MCIN/AEI/10.13039/501100011033);the R+D+i Project under Grant PID2020-115323RB-C31;in part by the Grant from the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU under Grant UNICO-5G I+D/AROMA3D-Hybrid TSI-063000-2021-71.
The computational complexity of resource allocation processes,in cognitive radio networks(CRNs),is a major issue to be managed.Furthermore,the complicated solution of the optimal algorithm for handling resource alloca...
关键词:Cognitive radio resource allocation OFDM PRICING 
A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks
《Computer Systems Science & Engineering》2023年第4期329-342,共14页Nada M.Elfatih Elmustafa Sayed Ali Maha Abdelhaq Raed Alsaqour Rashid A.Saeed 
This research was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R97),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection probability.Several optimization methods are usually used to ...
关键词:Cognitive radio spectrum sensing energy detection double threshold neural network machine learning OPTIMIZATION quality of service 
检索报告 对象比较 聚类工具 使用帮助 返回顶部