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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 Department of Electronics, Gandhi Memorial College Srinagar, J&K, India
 

Cognitive radio is a future technology coined for increasing the utilization of otherwise under-utilized spectrum channels. Providing quality of service (QoS) to diverse flows as per their requirements is a very difficult job as there is no dedicated allocation of wireless channels in cognitive radio (CR) network. The paper selects few critical QoS parameters such as signal-strength, bandwidth and user-mobility that assess the influence on quality of communication between users using rule-based fuzzy inference system. The analytical results show the influence of those QoS parameters on the quality of communicating channels and open new issues in designing protocol structure for CR.

Keywords

Cognitive Radio, Quality of Service (QoS), Fuzzy Logic.
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  • 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
Altaf A. Balkhi
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
R. A. Simnani
Department of Electronics, Gandhi Memorial College Srinagar, J&K, India

Abstract


Cognitive radio is a future technology coined for increasing the utilization of otherwise under-utilized spectrum channels. Providing quality of service (QoS) to diverse flows as per their requirements is a very difficult job as there is no dedicated allocation of wireless channels in cognitive radio (CR) network. The paper selects few critical QoS parameters such as signal-strength, bandwidth and user-mobility that assess the influence on quality of communication between users using rule-based fuzzy inference system. The analytical results show the influence of those QoS parameters on the quality of communicating channels and open new issues in designing protocol structure for CR.

Keywords


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

References





DOI: https://doi.org/10.13005/ojcst%2F10.04.12