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Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

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Towards Adaptive WLAN Frequency ManagementUs<strong>in</strong>g Intelligent AgentsFiorenzo Gamba 1 , Jean-Frédéric Wagen 1 , and Daniel Rossier 21University of Applied <strong>Science</strong>s of Western SwitzerlandBd de Pérolles 80, 1705 Fribourg, Switzerland{gamba,wagen}@eif.ch2Swisscom Innovations AG, Ostermundigenstrasse 93, 3006 Bern, Switzerlanddaniel.rossier@swisscom.comAbstract. Private, corporate and public Wireless Local Area Networks(WLAN) Hot-Spots are emerg<strong>in</strong>g. In this rapidly evolv<strong>in</strong>g environment, theconfiguration of WLAN access po<strong>in</strong>ts raise the classical problem of re-us<strong>in</strong>glimited radio resources. In this paper, the problem of dynamic frequency allocationof WLAN access po<strong>in</strong>t <strong>in</strong> a highly competitive multi-provider Hot-Spotsenvironment is addressed. Our solution aims at work<strong>in</strong>g <strong>in</strong> locations whereplanned and ad-hoc deployments might be side <strong>by</strong> side. An on-l<strong>in</strong>e adaptive optimizationprocess is proposed and relies on available <strong>in</strong>formation deliveredonly <strong>by</strong> the local access po<strong>in</strong>ts <strong>in</strong> order to ma<strong>in</strong>ta<strong>in</strong> the quality of service ashigh as possible. This optimization process is implemented on a scalable andhighly flexible agent-based framework. The easy deployment of <strong>in</strong>telligentagents <strong>in</strong> a real WLAN network and their <strong>in</strong>tegration <strong>in</strong> a simulation context allowsus to perform extensive tests for small and large-scale networks. The proposedapproach has been tested on a limited but practical demonstrator thatshowed encourag<strong>in</strong>g results.Keywords: WLAN Network, Frequency Optimization, Software Agent.1 IntroductionThe evolution of telecommunications is characterivzed <strong>by</strong> an <strong>in</strong>crease <strong>in</strong> bandwidthavailability and an <strong>in</strong>crease <strong>in</strong> user mobility.Mobile networks are evolv<strong>in</strong>g to support flexible access services and offer <strong>in</strong>creas<strong>in</strong>glyhigher bandwidths as well as attractive pric<strong>in</strong>g. For example, several mobileoperators are about to offer new complementary services named here “Hot-Spot”access [1–3]. Hot-Spot solutions provide broadband mobile public access to the Internetand to corporate <strong>in</strong>tranets. The coverage of a WLAN Hot-Spot is typically poorcompared to a 2G and 3G mobile cellular solution but this limitation can be seen as anadvantage to provide end-users with high bandwidth capacity. Current Wireless LocalArea Network (WLAN) technologies deliver services access around 100 meters. Severalmobile operators currently present WLAN Hot-Spot access as a complement totheir GPRS and future UMTS offer<strong>in</strong>gs. User applications will have to be able toroam from one local Hot-Spot to another. For example: a user can access to her company’sEmail from the hotel lob<strong>by</strong> and access it aga<strong>in</strong> at the airport gate.Despite many shortcom<strong>in</strong>gs with respect to security and <strong>in</strong>ter-network or <strong>in</strong>teroperatorroam<strong>in</strong>g, WLAN IEEE802.11b products are <strong>in</strong>creas<strong>in</strong>gly becom<strong>in</strong>g veryS. Pierre, M. Barbeau, and E. Kranakis (Eds.): ADHOC-NOW 2003, LNCS <strong>2865</strong>, pp. 116–127, 2003.© Spr<strong>in</strong>ger-Verlag Berl<strong>in</strong> Heidelberg 2003

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