Hybrid multi-channel cooperative spectrum sensing to satisfy channel target

Senadji, Bouchra & Chang, Kevin (2013) Hybrid multi-channel cooperative spectrum sensing to satisfy channel target. In 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), IEEE, London, United Kingdom, pp. 2301-2305.

View at publisher

Abstract

Spectrum sensing of multiple primary user channels is a crucial function in cognitive radio networks. In this paper we propose an optimal, sensing resource allocation algorithm for multi-channel cooperative spectrum sensing. The channel target is implemented as an objective and constraint to ensure a pre-determined number of empty channels are detected for secondary user network operations. Based on primary user traffic parameters, we calculate the minimum number of primary user channels that must be sensed to satisfy the channel target. We implement a hybrid sensing structure by grouping secondary user nodes into clusters and assign each cluster to sense a different primary user channels. We then solve the resource allocation problem to find the optimal sensing configuration and node allocation to minimise sensing duration. Simulation results show that the proposed algorithm requires the shortest sensing duration to achieve the channel target compared to existing studies that require long sensing and cannot guarantee the target.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 68695
Item Type: Conference Paper
Refereed: Yes
Keywords: Cognitive radio, Spectrum sensing, Cooperating spectrum sensing, Multi-channel sensing
DOI: 10.1109/PIMRC.2013.6666528
ISBN: 9781457713484
ISSN: 2166-9570
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2013 IEEE
Deposited On: 17 Mar 2014 23:18
Last Modified: 23 Aug 2016 22:46

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page