| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 02043 | |
| Number of page(s) | 10 | |
| Section | Algorithm Optimization and Application | |
| DOI | https://doi.org/10.1051/itmconf/20224702043 | |
| Published online | 23 June 2022 | |
Modeling and analysis of opportunistic spectrum access schemes in cognitive cellular networks under imperfect sensing
1 Department of Electrical and Electronic Information engineering, Hubei Polytechnic University, Huangshi, China
2 Department of computer and Information Engineering, Hubei Normal University, Huangshi, China
* Corresponding author: zhanglei4180@gmail.com
Cognitive radio (CR) is an exciting technology to solve the spectrum scarcity problem in the future cellular networks. As the grade-of-service (GoS) performances directly reflect the user's experiences in the cognitive cellular networks (CCNs), the GoS performance analysis of the OSA scheme in the CCNs has attracted much attention. In this article, we derive GoS performance metrics with a three-dimension continuous-time Markov chain (CTMC) to model the opportunistic spectrum access (OSA) schemes with non-hopping and with hopping in the CCNs under imperfect sensing. Under imperfect sensing, for a given primary user traffic, the range of achievable user equipment (UE) traffic is derived with guarantying the GoS of the UE. Simulations are conducted to verify the validity of the proposed CTMC model and corresponding analysis.
Key words: Cognitive cellular network / Opportunistic spectrum access / Markov chain / Spectrum handoff / Imperfect sensing
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.