Performance evaluation of corner effect in UMTS / Nurzaliza Ghazali

Ghazali, Nurzaliza (2009) Performance evaluation of corner effect in UMTS / Nurzaliza Ghazali. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

In cellular network such as UMTS, corner effect is one of the problem that effected the performance evaluation of handover algorithms. Handover is one of the key functionalities which tries to keep a user equipment (UE) connected to the best base station (Node B). Handover is on the downlink received signal strength (RSS) and carrier-to-interference ratio (CIR) measurements. This paper determines the comer effect at three location of urban area. Parameter of Ee/No (dB) is considered to evaluate the quality of services of the system. Meanwhile, parameter RSCP is used to measure the percentage of signal dropped. The NEMO ANALYZE software is used in this project to analyze the measurement at selected route. The actual data of Ee/No and RSCP was obtained from drive test measurements. Hence, the comparison between three location was done to determine the worst route that had been effected by the corner effect environment.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Ghazali, Nurzaliza
2007145141
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ibrahim, Muhammad
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Cell phones
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Master of Science in Telecommunication and Information Engineering
Keywords: Cellular communication systems, handover algorithms, urban area
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/78377
Edit Item
Edit Item

Download

[thumbnail of 78377.pdf] Text
78377.pdf

Download (93kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

78377

Indexing

Statistic

Statistic details