Sensing strategies for channel discovery in Cognitive Radio Networks
Sensing strategies for channel discovery in Cognitive Radio Networks
We consider spectrum sensing strategies used to discover available spectrum in Cognitive Radio Networks (CRNs), using both non-cooperative sensing and cooperative sensing approaches. After introducing the background to sensing techniques, this position paper focuses on strategies and algorithms for conducting sensing such that the sensing time and energy are minimized, and the likelihood of finding available spectrum is maximized. The paper mainly focuses on two approaches. The first is the ordering of channels to be sensed, and the second is cooperative spectrum sensing. After discussing the available strategies under each of these two approaches, we introduce our own proposed approaches. We first introduce a method for sorting the channels to be sensed in order to optimize the sensing time, while satisfying PUs' protection and false alarm constraints. Then, we introduce a framework for cooperative sensing of multiple PUs' channels by a group of SUs. The framework includes strategies for assigning different SUs to sense different PUs' channels, selection of the fusion center for each of the SUs clusters, and routing sensing data within the cluster from the SUs to the fusion center. We show how this framework is capable of optimizing different objective functions. Several open problems and future research directions are also introduced.
637-641
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Saifan, Ramzi
b8f42256-d0ed-4f10-ae4a-ea57eb963c6d
Kamal, Ahmed E.
b7e85bb0-fbc5-4dcd-80d6-011c900201dc
26 March 2015
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Saifan, Ramzi
b8f42256-d0ed-4f10-ae4a-ea57eb963c6d
Kamal, Ahmed E.
b7e85bb0-fbc5-4dcd-80d6-011c900201dc
Celik, Abdulkadir, Saifan, Ramzi and Kamal, Ahmed E.
(2015)
Sensing strategies for channel discovery in Cognitive Radio Networks.
In 2015 International Conference on Computing, Networking and Communications, ICNC 2015.
IEEE.
.
(doi:10.1109/ICCNC.2015.7069419).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We consider spectrum sensing strategies used to discover available spectrum in Cognitive Radio Networks (CRNs), using both non-cooperative sensing and cooperative sensing approaches. After introducing the background to sensing techniques, this position paper focuses on strategies and algorithms for conducting sensing such that the sensing time and energy are minimized, and the likelihood of finding available spectrum is maximized. The paper mainly focuses on two approaches. The first is the ordering of channels to be sensed, and the second is cooperative spectrum sensing. After discussing the available strategies under each of these two approaches, we introduce our own proposed approaches. We first introduce a method for sorting the channels to be sensed in order to optimize the sensing time, while satisfying PUs' protection and false alarm constraints. Then, we introduce a framework for cooperative sensing of multiple PUs' channels by a group of SUs. The framework includes strategies for assigning different SUs to sense different PUs' channels, selection of the fusion center for each of the SUs clusters, and routing sensing data within the cluster from the SUs to the fusion center. We show how this framework is capable of optimizing different objective functions. Several open problems and future research directions are also introduced.
This record has no associated files available for download.
More information
Published date: 26 March 2015
Additional Information:
Publisher Copyright:
© 2015 IEEE.
Venue - Dates:
2015 International Conference on Computing, Networking and Communications, ICNC 2015, , Garden Grove, United States, 2015-02-16 - 2015-02-19
Identifiers
Local EPrints ID: 504459
URI: http://eprints.soton.ac.uk/id/eprint/504459
PURE UUID: 16251843-5baf-40d6-9d23-cd056b08555d
Catalogue record
Date deposited: 09 Sep 2025 19:42
Last modified: 10 Sep 2025 13:50
Export record
Altmetrics
Contributors
Author:
Abdulkadir Celik
Author:
Ramzi Saifan
Author:
Ahmed E. Kamal
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics