Traffic Network and Antenna Telecom Mobile with a Tramway
J. Allami1, H. Ez- Zahraouy2, A. Benyoussef3

1J. Allami, Laboratory of Magnetism and High Energy Physics, Faculty of Sciences P.O.BOX 1014, Rabat, Morocco.
2H. Ez-Zahraouy, Laboratory of Magnetism and High Energy Physics, Faculty of Sciences P.O.BOX 1014, Rabat, Morocco.
3A. Benyoussef, Laboratory of Magnetism and High Energy Physics, Faculty of Sciences P.O.BOX 1014, Rabat, Morocco.

Manuscript received on 20 September 2014 | Revised Manuscript received on 30 September 2014 | Manuscript published on 30 September 2014 | PP: 60-64 | Volume-3 Issue-4, September 2014 | Retrieval Number: D1208093414/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this work, we studied the behavior and mobility of subscribers for know how distribute a telecom antenna to have a perfect signal for subscribers in a tramway that travels through a cellular network; we used a deterministic and a probabilistic method. the tramway passed into three zones (Z1, Z2 and Z3), each one is characterized by: topography, numbers of the cellular network, types of network (GSM, GPRS, UMTS …), numbers of subscribers, types of subscribers(staffs, students, workers and others), numbers of operators (Telecom, Meditel and Inwi),numbers of antenna). We have studied statistics in deterministic and probabilistic vision of traffic telecom; the model used is approach to vehicular traffic model.
Keyword: Mobility, Cellular Network Traffic, Probabilistic Model, Deterministic Model, Network Planning, Cellular Automata, Telecom Antenna.

Scope of the Article: Cloud Computing and Networking