Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/11040
Title: Channel Characterisation at 415 MHz for City Center of Khartoum
Other Titles: الوصفْ المُمَيِز للقناة عند التردد 415 ميغاهيرتز في مركز مدينة الخرطوم
Authors: Ibrahim, Mussaab Ibrahim Mohammed
Supervisor - Elsadig Saeid Gebreel Hamed
Keywords: COMMUNICATIONS ENGINEERING
Description distinctive
Description distinctive channel
Issue Date: 1-Jun-2015
Publisher: Sudan University of Science and Technology
Citation: Ibrahim,Mussaab Ibrahim Mohammed.Channel Characterisation at 415 MHz for City Center of Khartoum /Mussaab Ibrahim Mohammed Ibrahim ;Elsadig Saeid Gebreel Hamed .-khartoum:Sudan University of Science and Technology,Engineering,2015 .-62p. :ill. ;28cm .-M.Sc.
Abstract: Path loss prediction is used in many wireless communication systems in order to know the signal level at the receiver and to enables the designer to know the environment characteristics. One of the important issues of this thesis are the lack of research in Khartoum in channel characterisation at 415 MHz. Moreover, what has been mentioned in Geneva 2006 agreement about “digital dividend” that this low UHF band is more likely to be used in near future by mobile service provider. In order to investigate these issues a simplified path loss model framework had been chosen and developed to characterize this environment at this frequency band. Measurement of the received signal level is collected from a sampled area at the operating frequency of 415 MHz. Consequently the model parameter (Path loss exponent, Shadowing) is calculated statistically. The path loss exponent of simplified path loss models were found 􀟛 = 4.9 that describe an urban environment with high attenuation. Then the shadowing standard deviation or Minimum Mean-Squared Error (MMSE) for each model also found as follows (6.74 dB for Okumura-Hata model, 9.33 dB for Collaboration in Science and Technology, project 231 (COST231) Model and 5.00 dB for the developed Simplified Path loss Model), Thus the nearest model in path loss prediction to real measurement is the developed simplified path loss model.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/11040
Appears in Collections:Masters Dissertations : Engineering

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