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Distributed Spectrum Allocation via Local Shanghai Jiaotong University, Shanghai, P.R. China

Summary: Distributed Spectrum Allocation via Local
Lili Cao
Shanghai Jiaotong University, Shanghai, P.R. China
Email: cao li li@yahoo.com
Haitao Zheng
Microsoft Research Asia, Beijing, P.R. China
Email: htzheng@ieee.org
Abstract-- In this paper, we present an adaptive and dis-
tributed approach to spectrum allocation in mobile ad-hoc
networks. We propose a local bargaining approach where users
affected by the mobility event self-organize into bargaining
groups and adapt their spectrum assignment to approximate a
new optimal assignment. The number of computations required
to adapt to topology changes can be significantly reduced com-
pared to that of the conventional topology-based optimizations
that ignore the prior assignment. In particular, we propose a
Fairness Bargaining with Feed Poverty to improve fairness in
spectrum assignment and derive a theoretical lower bound on
the minimum assignment each user can get from bargaining for


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


Collections: Computer Technologies and Information Sciences