naa a22 4500 510794297 CHVBK 20180411083330.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11277-012-0584-8 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0584-8 Development of a Hybrid Algorithm for Efficient Optimisation of Base Station Placement for Indoor Wireless Communication Systems [Elektronische Daten] [Liza Pujji, Kevin Sowerby, Michael Neve] A new hybrid algorithm termed Reduction Estimation—Combinatorial Optimisation—Reduction Approximation is proposed to identify an optimal base station placement as a subset of a known set of potential sites to provide wireless communication services to a given set of stationary users. Both forward and reverse link signal-to-interference ratios are considered, and the performance of the proposed algorithm is reported for several representative case studies and compared with Brute Force Search and existing optimisation algorithms (including Genetic, Ngadiman and Greedy algorithms). For the cases considered, the proposed algorithm is found to be superior to the existing algorithms in that it can yield an optimal deployment (equivalent to Brute Force Search) in an acceptable time. Springer Science+Business Media, LLC., 2012 Base station placement nationallicence Indoor wireless communication systems nationallicence CDMA nationallicence Optimisation nationallicence Algorithms nationallicence Pujji Liza Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut Sowerby Kevin Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut Neve Michael Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut Wireless Personal Communications Springer US; http://www.springer-ny.com 69/1(2013-03-01), 471-486 0929-6212 69:1<471 2013 69 11277 https://doi.org/10.1007/s11277-012-0584-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0584-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Pujji Liza Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Sowerby Kevin Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Neve Michael Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 69/1(2013-03-01), 471-486 0929-6212 69:1<471 2013 69 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer