NDLI: Impact of the primary resource occupancy information on the performance of cognitive radio networks with VoIP traffic

Content Provider	IEEE Xplore Digital Library
Author	Castellanos-Lopez, S.L. Cruz-Perez, F.A. Rivero-Angeles, M.E. Hernandez-Valdez, G.
Copyright Year	2012
Description	Author affiliation: Telematics Dept., UPIITA-IPN, Mexico City, Mexico (Rivero-Angeles, M.E.) \|\| Electron. Dept., UAM-A, Mexico City, Mexico (Hernandez-Valdez, G.) \|\| Electr. Eng. Dept., CINVESTAV-IPN, Mexico City, Mexico (Castellanos-Lopez, S.L.; Cruz-Perez, F.A.)
Abstract	In this paper, the relevance of considering the primary network resource occupancy information on the admission criterion of new secondary VoIP sessions in cognitive radio networks (CRNs) is investigated. In particular, the performance of two different call admission control (CAC) strategies whose admission criterion is based either on the total number of primary and secondary sessions or only on the number of sessions of secondary users is compared. System performance is evaluated in terms of the most relevant quality of service metrics for VoIP traffic at both call and packet level. Numerical results clearly show that including primary resource occupancy information on the CAC strategy is an effective mean to improve system performance, especially for low to moderate traffic loads. For instance, assuming that voice toll quality is required, packet dropping probability is reduced more than 30% when primary resource occupancy information is additionally used on the CAC strategy.
Starting Page	338
Ending Page	343
File Size	117048
Page Count	6
File Format	PDF
ISBN	9781467329767
ISSN	21665419
e-ISBN	9781936968558
DOI	10.4108/icst.crowncom.2012.248483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	time-scale decomposition joint call and packet level teletraffic analysis Quality of service Telecommunication traffic packet buffering VoIP Cognitive radio Delay Analytical models on/off traffic System performance AMC Markov processes call admission control Cognitive radio networks
Content Type	Text
Resource Type	Article

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