Hierarchic optimization for indoor application

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.

[1]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[2]  Simon R. Saunders,et al.  Antennas and Propagation for Wireless Communication Systems , 1999 .

[3]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1992, Artificial Intelligence.

[4]  A. J. Motley,et al.  Radio coverage in buildings , 1990 .

[5]  Lajos Nagy,et al.  Indoor base station location optimization using genetic algorithms , 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).

[6]  M. A. Stuchly,et al.  Electromagnetic System Design Using Genetic Algorithms , 1999 .

[7]  Christodoulou.  Antennas and Propagation for Wireless Communication , 2006 .