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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
3131-3134,3138

Cognitive vehicle network cooperative spectrum sensing based on double threshold energy detection

Shang Jiaqinga
Zheng Guoqianga,b
Ma Huahonga
Ji Baofenga
Wu Honghaia
a. School of Information Engineering, b. Henan Key Laboratory for Machinery Design & Transmission System, Henan University of Science & Technology, Luoyang Henan 471003, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0223

Abstract

In order to solve the problem of shortage of wireless spectrum resources in cognitive car networking environment, this paper proposed a cognitive vehicle network cooperative spectrum sensing method based on double threshold energy detection. The method improved the number of vehicles in the range based on the single threshold to the double threshold, set the middle of the double threshold as the non-decision area, and discarded the local judgment of the vehicle secondary user that was seriously interfered by noise and fell in the non-judgment area. It achieved the purpose of increasing the spectrum awareness success rate of the secondary users, thereby improved the spectrum utilization. The simulation results show that the proposed method can effectively improve the spectrum detection probability under different vehicle density and SNR conditions.

Foundation Support

国家自然科学基金资助项目(61772175,61801170,61501405,U1504619)
国家“十三五”装备预研基金资助项目(6140311030207)
国家重点研发计划资助项目(2018YFB0904905)
河南省自然科学基金资助项目(162300410098,162300410096)
河南省重大科技专项资助项目(161100210900)
河南省高校创新人才项目(17HASTIT025)
河南省国际联合项目(172102410072)
西藏民族大学西藏文化传承发展协同创新中心2018年招标第21号课题
中国博士后基金资助项目(2018M633351,2018M632772)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0223
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Network & Communication
Pages: 3131-3134,3138
Serial Number: 1001-3695(2020)10-051-3131-04

Publish History

[2020-10-05] Printed Article

Cite This Article

尚佳庆, 郑国强, 马华红, 等. 基于双门限能量检测的认知车联网协作频谱感知 [J]. 计算机应用研究, 2020, 37 (10): 3131-3134,3138. (Shang Jiaqing, Zheng Guoqiang, Ma Huahong, et al. Cognitive vehicle network cooperative spectrum sensing based on double threshold energy detection [J]. Application Research of Computers, 2020, 37 (10): 3131-3134,3138. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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