Analyzing and simulation of handoff scenario for wireless communication network / Farah Syahida Mohd Kamal

Mohd Kamal, Farah Syahida (2006) Analyzing and simulation of handoff scenario for wireless communication network / Farah Syahida Mohd Kamal. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

The aim of this project is to present the analysis and simulation of handoff scenario for wireless communication network exclusively within Global System for Mobile Communications (GSM) networks. The project started with designing a handover mechanism between GSM and a radio base network. To be able to design such a handoff, it started out with an investigation of handoff within GSM networks. Through simulations and analysis of the model, the investigation on behavior of a hard handoff is possible. The model is being compared to the real system, to determine the received signal in hard handoff using Okumura-Hata Model in order to determine if the outcome of a handoff of the predicted is consistent throughout the network. The data on handoff performance on mobile radio in UiTM Shah Alam area are collected and analyzed using a computer package called ROMES. While simulation is by using MATLAB software to evaluate the proposed methodology compared to the actual.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohd Kamal, Farah Syahida
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ahmad, Norhayati
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Wireless LANs
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons.)
Keywords: wireless, communication, network
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/68985
Edit Item
Edit Item

Download

[thumbnail of 68985.pdf] Text
68985.pdf

Download (340kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

68985

Indexing

Statistic

Statistic details