The increased popularity of IEEE 802.11 WLANs has led to dense deployments in urban areas. Such high density leads to sub-optimal performance unless the interfering networks learn how to optimally share the spectrum. This paper proposes a set of novel fully distributed algorithms that allow (i) multiple interfering 802.11 WLANs to select their operating frequency in a way that minimizes global interference, and (ii) clients to choose their Access Point so that the bandwidth of all interfering networks is shared optimally. The proposed algorithms rely on Gibbs
Dina Papagiannaki received her first degree in electrical and computer engineering from the National Technical University of Athens, Greece, in 1998, and her PhD degree from the University College London, U.K., in 2003. Her thesis work was awarded the CHPC/BCS Distinguished Dissertations Award 2003 for the best PhD thesis in the area of Computer Science in the British Isles. From 2000 to 2004, she was a member of the IP research group at the Sprint Advanced Technology Laboratories, CA, U.S.A. She is currently with Intel Research in Cambridge, UK. Her research interests are in Internet measurements, modeling of Internet traffic, network design and provisioning, infrastructure and mesh wireless networks. A complete publications record can be found at http://www.cambridge.intel-research.net/~kpapagia/.
