Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants
Joint Authors
Latif, Shahzad
Akraam, Suhail
Saleem, Muhammad Aamer
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The advent of emerging wireless technologies has increased the demand of spectrum resources.
On the other hand, present spectrum assignment is fixed and underutilized.
Cognitive radio (CR) provides good solution to spectrum scarcity problem to accommodate new wireless applications.
The network selection is an important mechanism in cognitive radio heterogeneous network (CRHN) to provide optimal Quality of Service (QoS) to both Primary Users (PUs) and Secondary Users (SUs).
The aim of this work is to provide optimal QoS to SUs by appropriate network selection and channel assignment.
The proposed FLACSA selects the best network while maximizing the data rate and minimizing the interference and cost simultaneously.
Simulation results show the attractive performance of our proposed algorithm.
American Psychological Association (APA)
Latif, Shahzad& Akraam, Suhail& Saleem, Muhammad Aamer. 2017. Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205584
Modern Language Association (MLA)
Latif, Shahzad…[et al.]. Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1205584
American Medical Association (AMA)
Latif, Shahzad& Akraam, Suhail& Saleem, Muhammad Aamer. Joint Optimization of Interference and Cost in Cognitive Radio Heterogeneous Network Using Fuzzy Logic Powered Ants. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205584
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205584
