A Case for Adapting Channel Width in Wireless Networks Ranveer Chandra, Ratul Mahajan, Thomas Moscibroda, Ramya Raghavendra , Paramvir Bahl Microsoft Research, Redmond, WA University of California Santa Barbara, CA {ranveer,ratul,moscitho,bahl}@microsoft.com ramya@cs.ucsb.edu ABSTRACT We study a fundamental yet under-explored facet in wireless communication the width of the spectrum over which transmitters spread their signals, or the channel width. Through detailed measurements in controlled and live environments, and using only commodity 802.11 hardware, we rst quantify the impact of channel width on throughput, range, and power consumption. Taken together, our ndings make a strong case for wireless systems that adapt channel width. Such adaptation brings unique bene ts. For instance, when the throughput required is low, moving to a narrower channel increases range and reduces power consumption; in xed-width systems, these two quantities are always in con ict. We then present SampleWidth, a channel width adaptation algorithm for the base case of two communicating nodes. This algorithm is based on a simple search process that builds on top of existing techniques for adapting modulation. Per speci ed policy, it can maximize throughput or minimize power consumption. Evaluation using a prototype implementation shows that SampleWidth correctly identities the optimal
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A case for adapting channel width in wireless networks
Chandra, Ranveer; Mahajan, Ratul; Moscibroda, Thomas; Raghavendra, Ramya; Bahl, Paramvir
Follow ACM SIGCOMM Computer Communication Review
, Volume 38 (4)
Association for Computing Machinery – Oct 1, 2008
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