Title
Queuing based optimal scheduling mechanism for QoE provisioning in cognitive radio relaying network
Abstract
In cognitive radio network (CRN), secondary users (SU) can share the licensed spectrum with the primary users (PU). Compared with the traditional network, spectrum utilization in CRN will be greatly improved. In order to ensure the performance of SUs as well as PU, wireless relaying can be employed to improve the system capacity. Meanwhile, quality-of-experience (QoE) should be considered and provisioned in the relay scheduling scheme to ensure user experience and comprehensive network performance. In this paper, we studied a QoE provisioning mechanism for a queuing based optimal relay scheduling problem in CRN. We designed a QoE provisioning scheme with multiple optimized goals about higher capacity and lower packet loss probability. The simulation results showed that our mechanism could get a much better performance on packet loss with suboptimum system capacity. And it indicated that our mechanism could guarantee a better user experience through the specific QoS-QoE mapping models. So our mechanism can improve the network performance and user experience comprehensively.
Year
DOI
Venue
2013
null
WPMC
Keywords
Field
DocType
relay networks (telecommunication),licensed spectrum utilization,user scheduling,scheduling,queuing based optimal relay scheduling mechanism,quality of service,cognitive radio,pu,qoe,queueing theory,radio spectrum management,radio networks,packet loss probability,cognitive radio relaying network,primary user,crn,secondary user,quality of experience,qos-qoe mapping model,su,losses,quality-of-experience,probability,lead,throughput,interference,signal to noise ratio,wireless communication
Scheduling (computing),Computer science,Quality of service,Packet loss,Computer network,Provisioning,Real-time computing,Quality of experience,Relay,Cognitive radio,Network performance
Conference
Volume
Issue
ISSN
null
null
1347-6890
Citations 
PageRank 
References 
3
0.36
5
Authors
5
Name
Order
Citations
PageRank
Kun Wu141.04
Li Guo25818.35
Hua Chen330.36
Yonghua Li442.08
Jiaru Lin564680.74