NDLI: Optimizing achievable throughput for cognitive radio network using swarm intelligence

Content Provider	IEEE Xplore Digital Library
Author	Rashid, R.A. Baguda, Y.S. Fisal, N. Sarijari, M.A. Yusof, S.K.S. Ariffin, S.H.S. Mohd, A.
Copyright Year	2011
Description	Author affiliation: Faculty of Electrical Engineering, UniversitiTeknologi Malaysia, Johor, Malaysia (Rashid, R.A.; Baguda, Y.S.; Fisal, N.; Sarijari, M.A.; Yusof, S.K.S.; Ariffin, S.H.S.; Mohd, A.)
Abstract	Cognitive radio (CR) technology allows a secondary or cognitive user (CU) to opportunistically access frequency band of a primary user (PU) when it is not in use. However, a CU needs to perform spectrum sensing periodically to avoid causing harmful interference and thereby protecting the quality of service of PUs. A conventional frame structure for CR operation consists of sensing time slot and data transmission time slot which run consecutively. Basically, a longer sensing time produces a higher probability of detection and therefore, better PU protection. However, longer sensing time will reduce the amount of time for data transmission and hence affects the achievable throughput of a CU. In this paper, we study the fundamental tradeoff between sensing time and achievable throughput of the CUs. Based on energy detection scheme, we propose and investigate the feasibility of using Particle Swarm Optimization (PSO) in the design of sensing slot duration to maximize the achievable throughput for CUs for a given frame duration. The results show an encouraging 8.89% increase in throughput with respect to the probability of false alarm, a reduced sensing time by 80% while achieving 97.8% of normalized throughput for CU system with PSO.
Starting Page	354
Ending Page	359
File Size	1314430
Page Count	6
File Format	PDF
ISBN	9781457703898
e-ISBN	9781457703904
DOI	10.1109/APCC.2011.6152833
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-02
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Throughput Copper Data communication Optimization Detectors Particle swarm optimization Particle Swarm Optimization Cognitive Radio spectrum sensing probability of detection throughput sensing time
Content Type	Text
Resource Type	Article

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