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Summary: 1
Traffic-Aware Dynamic Spectrum Access
Lei Yang, Lili Cao, Heather Zheng, Elizabeth Belding
Department of Computer Science, University of California, Santa Barbara, CA 93106
leiyang,lilicao,htzheng,ebelding@cs.ucsb.edu
Abstract-- Demand-driven spectrum allocation can drastically
improve performance for WiFi access points struggling under
increasing user demands. While their frequency agility makes
cognitive radios ideal for this challenge, performing adaptive
spectrum allocation is a complex and difficult process. In this
work, we propose FLEX, an efficient spectrum allocation ar-
chitecture that efficiently adapts to dynamic traffic demands.
FLEX tunes network-wide spectrum allocation by access points
coordinating with peers, minimizing network resets through
local adaptations. Through detailed analysis and experimental
evaluation, we show that FLEX converges quickly, provides
users with proportional-fair spectrum usage and significantly
outperforms existing spectrum allocation proposals.
I. INTRODUCTION
As WiFi networks become a pervasive last mile connectivity
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