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Author: | Yang, Chong Yee |
Title: | Local Algorithm for UMTS Radio Network Capacity Optimisation |
Paikallisalgoritmi UMTS radioverkon kapasiteetin optimoimiseksi | |
Publication type: | Master's thesis |
Publication year: | 2003 |
Pages: | 63 Language: eng |
Department/School: | Sähkö- ja tietoliikennetekniikan osasto |
Main subject: | Tietoliikennetekniikka (S-72) |
Supervisor: | Häggman, Sven-Gustav |
Instructor: | Gerdenitsch, Alexander ; Jakl, Stefan |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark S80 | Archive |
Keywords: | local optimisation algorithm CPICH power antenna tilt UMTS radio network |
Abstract (eng): | This master's thesis focuses on the development of an intelligent local optimisation algorithm that automatically adjusts the Common Pilot Channel (CPICH) power and antenna tilt settings. These parameters adjustments improve the Universal Mobile Telecommunications System (UMTS) radio network capacity by means of reducing inter-cell interference, achieve cell load sharing, and optimise base station power resources. The parameters settings are modified adaptively according to the uplink cell loading, base station transmit power and Orthogonal Variable Spreading Factor (OVSF) code utilisation in the downlink. The performance of the algorithm is evaluated using a UMTS Frequency Division Duplex (FDD) static radio network simulator on a virtual scenario of Vienna City. The results showed that the strategy improved the network capacity, measured as the number of served users. It was found that the performance of the algorithm depends on the initial network state, the distribution of the users and the propagation environment. The stability of the algorithm has been verified and it was proven to be robust against with rounding of the optimised parameters settings, various realisations of user distributions as well as fading. |
ED: | 2003-08-27 |
INSSI record number: 19863
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