Open Access
ARTICLE
Intelligent Spectrum Detection Model Based on Compressed Sensing in Cognitive Radio Network
Yanli Ji1, *, Weidong Wang2, Yinghai Zhang2
1 School of Network Education, Beijing University of Posts and Telecommunications, Beijing, China.
2 Information and Electronic Technology Lab, Beijing University of Posts and Telecommunications, Beijing, China.
* Corresponding Author: Yanli Ji. Email: kxhjmewh11@163.com.
(This article belongs to the Special Issue: Security Enhancement of Image Recognition System in IoT based Smart Cities)
Computer Modeling in Engineering & Sciences 2020, 122(2), 691-701. https://doi.org/10.32604/cmes.2020.07861
Received 05 July 2019; Accepted 25 September 2019; Issue published 01 February 2020
Abstract
In view of the uncertainty of the status of primary users in cognitive networks
and the fact that the random detection strategy cannot guarantee cognitive users to
accurately find available channels, this paper proposes a joint random detection strategy
using the idle cognitive users in cognitive wireless networks. After adding idle cognitive
users for detection, the compressed sensing model is employed to describe the number of
available channels obtained by the cognitive base station to derive the detection
performance of the cognitive network at this time. Both theoretical analysis and
simulation results show that using idle cognitive users can reduce service delay and
improve the throughput of cognitive networks. After considering the time occupied by
cognitive users to report detection information, the optimal participation number of idle
cognitive users in joint detection is obtained through the optimization algorithm.
Keywords
Cite This Article
APA Style
Ji, Y., Wang, W., Zhang, Y. (2020). Intelligent spectrum detection model based on compressed sensing in cognitive radio network. Computer Modeling in Engineering & Sciences, 122(2), 691-701. https://doi.org/10.32604/cmes.2020.07861
Vancouver Style
Ji Y, Wang W, Zhang Y. Intelligent spectrum detection model based on compressed sensing in cognitive radio network. Comput Model Eng Sci. 2020;122(2):691-701 https://doi.org/10.32604/cmes.2020.07861
IEEE Style
Y. Ji, W. Wang, and Y. Zhang "Intelligent Spectrum Detection Model Based on Compressed Sensing in Cognitive Radio Network," Comput. Model. Eng. Sci., vol. 122, no. 2, pp. 691-701. 2020. https://doi.org/10.32604/cmes.2020.07861