Quality of Service Provisioning in Cognitive Radio-Reference-Cited by-同舟云学术

Quality of Service Provisioning in Cognitive Radio

Published:2017-11-28 Issue:04 Volume:10 Page:780-787
ISSN:0974-6471
Container-title:Oriental journal of computer science and technology
language:
Short-container-title:Orient. J. Comp. Sci. and Technol

Author:

Lala Nisar¹^ORCID,Balkhi Altaf¹^ORCID,Mir G. M.¹,Simnani R. A.²

Affiliation:

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

2. Department of Electronics, Gandhi Memorial College Srinagar, J and 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.

Publisher

Oriental Scientific Publishing Company

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference33 articles.

1. FCC, Notice of proposed rule making and order. 2003;No.03-222.

2. Mitola J. Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio. Ph.D. Dissertation: KTH Royal Institute of Technology.2000.

3. CrossRef

4. Mitola J. and Maguire G.Q. Cognitive Radio: Making Software Radios more Personal. IEEE Personal Communications.1999;6(4):13-8.

5. Haykin S. Cognitive Radio: Brain Empowered Wireless Communications. IEEE Journal on Selected Areas in Communications.2005;23(2):201-20.

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