Optimal placement of Femto-cell access point indoor coverage Abdallah El-Mohamad;Supervisor:Mehmet Toycan
Dil: İngilizce Yayın ayrıntıları:Nicosia Cyprus International University 2017Tanım: X, 80 p. table, picture, chart, diagram 30 cmİçerik türü:- text
- unmediated
- volume
Materyal türü | Geçerli Kütüphane | Koleksiyon | Yer Numarası | Durum | Notlar | İade tarihi | Barkod | Materyal Ayırtmaları | |
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Thesis | CIU LIBRARY Tez Koleksiyonu | Tez Koleksiyonu | YL 1013 M64 2017 (Rafa gözat(Aşağıda açılır)) | Kullanılabilir | Electrical and Electronics Department | T1097 |
CIU LIBRARY raflarına göz atılıyor, Raftaki konumu: Tez Koleksiyonu, Koleksiyon: Tez Koleksiyonu Raf tarayıcısını kapatın(Raf tarayıcısını kapatır)
CD var/Includes CD:Optimal placement of Femto-cell access point indoor coverage
Includes references(79-80 p.)
'ABSTRACT Technically, mobile handsets connect to mobile operator networks via base stations located at the roof top of buildings. These base stations operate at different frequency bands depending on two main criteria: location of the area to be planned and applied technology (2G/3G/4G). High frequency bands suffer from poor indoor coverage due to increased path loss. To overcome indoor coverage problem, operators have installed distributed antenna systems (D.A.S) with signal boosters. Newly implemented solution consists of deploying Femto Access Points (FAPs). Since customers tend to deploy FAPs in arbitrary ways, they don't benefit from their full coverage and capacity. Therefore there is a need to optimize FAPs deployment in terms of number and position. We had developed a planning tool "FAP planner V1.0" using Matlab that simulates FAP coverage in indoor environments according to: o FAP characteristics (Transmitted power, supported users, maximum coverage range) o Different propagation models available in literature We had used this tool to predict 3G FAPs coverage in CIU-Haspolat Science and Technology Building. Taking into consideration the values predicted by Touch (2nd mobile interim company in Lebanon), who have worked on iBwave software that applies the accurate ray tracing model to predict indoor coverage for a basement in Beirut Arab University.'