NDLI: A Dynamic Wireless Spectrum Allocation Algorithm for Sliding Scheduled Demands

Content Provider	IEEE Xplore Digital Library
Author	Xubin Luo Jie Ma Qing Li Jiafen Liu
Copyright Year	2010
Abstract	Spectrum management in cognitive radio is one of the most challenging issues and has attracted much research attentions in recent years. However most of the existing works consider either online demands or scheduled demands, which may not fully capture the flexible nature of the demands in certain circumstances, such as the communication demands for a synchronized sensing data transmission in wireless sensor networks which may not require the wireless channels be assigned in a pre-specified time point and could instead be provisioned in a flexible time range. Sliding scheduled traffic model, which allows the starting time of the service provisioning for a demand to slide in a pre-specified time window, instead of a time point, fits in well. Based on this observation, we propose in this paper to model the wireless channel demands for communication with sliding scheduled traffic model to improve the utilization ratio. We presents a mixed integer linear program (MILP) formulation as well as an efficient heuristic algorithm for this optimization problem. Numeric results show that adopting sliding scheduled demand model significantly improves the utilization ratio of wireless channels in dynamic wireless spectrum allocation.
Starting Page	387
Ending Page	390
File Size	304286
Page Count	4
File Format	PDF
ISBN	9781424485079
DOI	10.1109/ICMeCG.2010.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	sliding scheduled traffic model Wireless sensor networks dynamic spectrum allocation cognitive radio Heuristic algorithms Interference Numerical models Cognitive radio Resource management
Content Type	Text
Resource Type	Article

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