DocumentCode
3091603
Title
Traffic-Aware Spectrum Assignment in Wireless Networks
Author
Long, Zhang ; Dashan, Pan ; Yang, Li ; Tao, Fang ; Chao, Liang ; Li, Li
Author_Institution
Lenovo Mobile Commun. Technol. Ltd., Beijing, China
fYear
2011
fDate
28-30 July 2011
Firstpage
208
Lastpage
213
Abstract
Radio frequency spectrum is a finite and scarce resource. However, past research efforts usually assume orthogonal channels of fixed bandwidth, prohibiting the effective use of the spectrum. Recently some work began to explore dynamic channel width adaptation. In this paper, by reducing the optimal channel width adaptation into the "elastic packing" problem, we devise distributed algorithms based on graph multi-interval coloring and max-coloring. We then integrate our algorithms into the multi-radio multi-channel wireless mesh networks. Simulation results show that our schemes can improve network performance significantly.
Keywords
distributed algorithms; telecommunication traffic; wireless channels; wireless mesh networks; distributed algorithms; dynamic channel width adaptation; elastic packing problem; graph multiinterval coloring; multiradio multichannel wireless mesh networks; orthogonal channels; radiofrequency spectrum; traffic-aware spectrum assignment; wireless networks; Adaptation models; Color; Distributed algorithms; Logic gates; Partitioning algorithms; Telecommunication traffic; Vegetation; graph interval coloring; max-coloring; mesh networks; multi-channel; spectrum assignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Architecture and Storage (NAS), 2011 6th IEEE International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4577-1172-5
Electronic_ISBN
978-0-7695-4509-7
Type
conf
DOI
10.1109/NAS.2011.19
Filename
6005462
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