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
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;
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
DOI :
10.1109/NAS.2011.19