Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
845-850

Markov modeling analysis of adaptive handoff strategy in cognitive radio networks

Shang Zihan
Li Suoping
Yang Sa
Li Wei
School of Science, Lanzhou University of Technology, Lanzhou 730050, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0062

Abstract

To improve the channel utilization and throughput performance of CRN, this paper proposed a new adaptive spectrum handoff strategy, which emphasized the priority of primary user, considered the influence of the arrival rate of the primary user(PU) on the communication of the secondary user(SU) and limited the interference power of the secondary user to the primary user, and SUs adapted to a reactive or a proactive handoff strategy accordingly. This adaptive handoff strategy established the Markov chains between primary and secondary users, and gave the steady-state probabilities respectively. From the steady-state probability and throughput under different states, it derived the analytic expressions of system throughput and channel utilization. And it established a Markov chain for the transmission between secondary users, derived the time to transfer control information between secondary users. Numerical results show that the proposed adaptive handoff strategy has higher throughput and channel utilization than the CSMA-based random access approaches, and can be used to derive the time to transfer control information between secondary users.

Foundation Support

国家自然科学基金资助项目(61663024)
欧盟Erasmus计划国际合作项目(573879)
教育部“春晖计划”合作科研项目(Z2016001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0062
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Network & Communication
Pages: 845-850
Serial Number: 1001-3695(2021)03-040-0845-06

Publish History

[2021-03-05] Printed Article

Cite This Article

尚梓晗, 黎锁平, 杨飒, 等. 认知无线电网络一种自适应切换机制的Markov建模分析 [J]. 计算机应用研究, 2021, 38 (3): 845-850. (Shang Zihan, Li Suoping, Yang Sa, et al. Markov modeling analysis of adaptive handoff strategy in cognitive radio networks [J]. Application Research of Computers, 2021, 38 (3): 845-850. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)