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Combining rule-based Artificial Intelligence with Geographic Information Systems to plan the physical layer of wireless networks in Greenfield areas

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dc.contributor.author Prag, K
dc.contributor.author Premjeeth, P
dc.contributor.author Sandrasegaran, K
dc.contributor.editor Venter, L
dc.contributor.editor Lombard, R.R.
dc.date.accessioned 2018-09-10T13:17:14Z
dc.date.available 2018-09-10T13:17:14Z
dc.date.issued 2000
dc.identifier.citation Prag, K., Premjeeth, P. & Sandrasegaran, K. (1997) Combining rule-based Artificial Intelligence with Geographic Information Systems to plan the physical layer of wireless networks in Greenfield areas. Proceedings of the 1997 National Research and Development Conference: Towards 2000, South African Institute of Computer Science and Information Technology), Riverside Sun, 13-14 November, 2000, edited by L.M. Venter and R.R. Lombard (PUCHEE, VTC) en
dc.identifier.isbn 1-86822-300-0
dc.identifier.uri http://hdl.handle.net/10500/24827
dc.description.abstract This paper elucidates the development of a computer tool which combines the use of terrain data in a Geographic Information System (GIS), an equipment database and rule-based inference. It explores the use of GJS to aid network planners to locate base stations and perform radio link planning in fixed wireless networks. And farther explains how the process of site and equipment selection for point-to-multi-point networks may be automated with the use of an expert system interacting with a GIS and a specialised database. The use of heuristics is adopted to locate sites for fixed wireless basestations and repeaters in Greenfield areas as well as to specify the frequency plan, radio equipment and antenna requirements. en
dc.language.iso en en
dc.title Combining rule-based Artificial Intelligence with Geographic Information Systems to plan the physical layer of wireless networks in Greenfield areas en


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