ABSTRACT
This paper presents an automatic planning software tool for indoor wireless networks. As a consequence of increasing number of wireless interface based systems, automation of deployments becomes actually relevant. There are a lot of parameters that influences network performance, so designers have to take them into account. The larger the network is, the more complex its planning results are. Planning determines performance, and getting it manually is not efficient. Mentioned tool automatically looks for an optimal planning solution, in terms of base stations distribution and frequency planning. It consists of analyzing data obtained by means of environment simulation. The user is able to decide the optimization criterion and the algorithm for searching solutions. This tool obtains an optimal solution in a short period of time, and it shows results such as power received at each user spatial point, interference level or traffic load for each station.
- R. M. Whitaker and S. Hurley. "Evolution of planning for wireless communication systems", 36th Annual Hawaii International Conference on System Sciences, Vol. 9, No. 9, pp. 296. 2003. Google ScholarDigital Library
- M. J. Neve and K. W. Sowerby. "Optimising the performance of indoor wireless communication systems", IEEE 49th Vehicular Technology Conference, Vol. 2, pp. 968--972. July 1999.Google ScholarCross Ref
- E. Amaldi, et al. "WLAN coverage planning: optimization models and algorithms", IEEE 59th Vehicular Technology Conference, Vol. 4, pp. 2219--2223. May 2004.Google Scholar
- F. Aguado-Agelet, et al. "Optimization methods for optimal transmitter locations in a mobile wireless system", IEEE Transactions on Vehicular Technology, Vol. 51, No. 6, pp. 1316--1321. November 2002.Google ScholarCross Ref
- X. Huang, U. Behr and W. Wiesbeck. "Automatic base station placement and dimensioning for mobile network planning", IEEE 52nd Vehicular Technology Conference, Vol. 4, pp. 1544--1549. 2000.Google ScholarCross Ref
- M. Unbehaun and M. Kamenetsky. "On the deployment of picocellular wireless infrastructure", IEEE Wireless Communications, pp. 70--80. December 2003. Google ScholarDigital Library
- R. A. Gallego, R. Romero and A. J. Monticelli "Tabu search algorithm for network synthesis", IEEE Transactions on Power Systems, Vol. 15, No. 2, pp. 490--495. May 2000.Google ScholarCross Ref
- K. Lieska, E. Laitinen and J. Lähteenmäki. "Radio Coverage Optimization with Genetic Algorithms", The Ninth IEEE International Symposium, Vol. 1, pp. 318--322. September 1998.Google Scholar
Index Terms
- Automatic planning tool for deployment of indoor wireless local area networks
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