Title :
Indoor Radio Coverage Optimization for WLAN
Author_Institution :
Dept. of Broadband Infocommunications & Electromagn. Theor., Budapest Univ. of Technol. & Econ., Budapest
Abstract :
Recently there is a growing interest in providing and improving radio coverage for mobile phones and WLANs inside buildings. The need of such coverage appears mainly in office buildings, shopping malls, train stations where the subscriber density is very high. The cost of cellular systems and also the one of indoor wireless systems depend highly on the number of base stations required to achieve the desired coverage for a given level of field strength. By using hybrid fibre radio (HFR), architecture in combining wireless and optical network elements, large part of the radio complexity can be reduced and therefore an effective solution will be provided for indoor WLAN or mobile cellular radio coverage. This paper presents an approach in optimizing the HFR radio coverage for indoor environments. The genetic algorithm (GA) is used to determine the proper access point positions to achieve optimum coverage.[l, 6] Sample calculations and measurements are performed to prove the proposed method and to investigate the improvement available.
Keywords :
cellular radio; genetic algorithms; indoor radio; wireless LAN; WLAN; cellular systems; genetic algorithm; hybrid fibre radio; indoor radio coverage optimization; indoor wireless systems; Coverage Optimization; Genetic Algorithm; WLAN;
Conference_Titel :
Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on
Print_ISBN :
978-0-86341-842-6