Oriental Journal of Computer Science and Technology

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Fuzzy Rule Based Quality of Service Provisioning in Cognitive Radio Network


Affiliations
1 College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
2 Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
 

Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. Quality of service (QoS) provisioning in CR networks to large number of traffic as per their need is not an easy task since no wireless spectrum is available on permanent basis for its operation. In this paper, few critical QoS parameters namely dynamic-availability-of-idle- channels (avail-idle-channel), expected-holding-time-of-idle-channel (HT-idle-channel) and user-mobility are chosen to analyze their impact over quality of service of the communicating cognitive users using rule-based fuzzy decision-making system. The results indicate the relationship of chosen parameters over the QoS of the communicating cognitive users.

Keywords

Cognitive Radio, Quality of Service (QoS), Fuzzy Logic.
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  • Fuzzy Rule Based Quality of Service Provisioning in Cognitive Radio Network

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Authors

Nisar A. Lala
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
G. M. Mir
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
Altaf A. Balkhi
College of Agricultural Engineering and Technology, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India
N. A. Sofi
Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir, Srinagar, J&K, India

Abstract


Cognitive radio (CR) is a novel technology to resolve the issue of under-utilization of wireless spectrum. Quality of service (QoS) provisioning in CR networks to large number of traffic as per their need is not an easy task since no wireless spectrum is available on permanent basis for its operation. In this paper, few critical QoS parameters namely dynamic-availability-of-idle- channels (avail-idle-channel), expected-holding-time-of-idle-channel (HT-idle-channel) and user-mobility are chosen to analyze their impact over quality of service of the communicating cognitive users using rule-based fuzzy decision-making system. The results indicate the relationship of chosen parameters over the QoS of the communicating cognitive users.

Keywords


Cognitive Radio, Quality of Service (QoS), Fuzzy Logic.

References