Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks

Koulali, MA; Sabir, E; Ghogho, M; Krunz, M

Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks

Koulali, MA Sabir, E Ghogho, M Krunz, M

Permalink

Publication Type:: Conference Proceeding
Citation:: 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, 2016
Issue Date:: 2016-01-01

Closed Access

	Filename	Description	Size
	Towards a Strategic Satisfactory Sensing for QoS.pdf	Published version	831.81 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Koulali, MA	en_US
dc.contributor.author	Sabir, E	en_US
dc.contributor.author	Ghogho, M	en_US
dc.contributor.author	Krunz, M	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, 2016	en_US
dc.identifier.isbn	9781509013289	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126731
dc.description.abstract	© 2016 IEEE. In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.	en_US
dc.relation.ispartof	2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2016.7842338	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Towards a strategic satisfactory sensing for QoS self-provisioning in cognitive radio networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. In cognitive radio networks, secondary users (SUs) face two conflicting objectives. Each SU seeks to minimize the sensing duration while maximizing the detection probability of primary users (PU) to avoid interfering with their transmissions. Both objectives have a substantial effect on energy efficiency. This paper investigates a noncooperative setting for selecting the sensing duration when multiple SUs operate in the same network. Here, each SU has a certain throughput requirement. The interaction among SUs is captured via a satisfaction strategic game with explicitly stated throughput demands. We prove that depending on the throughput requirements, either zero, one or two Satisfaction Equilibria (SE) exist. We then provide a fully distributed learning algorithm (SELA) to discover them. Extensive simulation results show the validity of the proposed SELA and illustrate the relationship between the throughput demand and the sensing duration.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126731