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Physical Interference Driven Dynamic Spectrum Lei Yang, Lili Cao and Heather Zheng
 

Summary: Physical Interference Driven Dynamic Spectrum
Management
Lei Yang, Lili Cao and Heather Zheng
Department of Computer Science, University of California, Santa Barbara, CA 93106
leiyang,lilicao,htzheng@cs.ucsb.edu
Abstract-- Dynamic spectrum management can drastically im-
prove the performance of wireless networks struggling under
increasing user demands. However, performing efficient spectrum
allocation is a complex and difficult process. Current proposals
make the problem tractable by simplifying interference con-
straints as conflict graphs, but they face potential performance
degradation from inaccurate interference estimation. In this
paper, we show that conflict graphs, if optimized properly, can
produce spectrum allocations that closely match those derived
from the physical interference model. Thus we propose PLAN, a
systematic framework to produce conflict graphs based on phys-
ical interference characteristics. PLAN first applies an analytical
framework to derive the criterion for identifying conflicting
neighbors, capturing the cumulative effect of interference. PLAN
then applies a local conflict adjustment algorithm to address

  

Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara

 

Collections: Computer Technologies and Information Sciences