Efficient Methods for WCDMA Radio Network Planning and Optimization

1. Front Matter

   Pages i-xxv

   PDF

2. Introduction

   Pages 1-4

3. The WCDMA Air Interface

   Pages 5-24

4. Modeling the Wireless Transmission Channel

   Pages 25-43

5. Monte-Carlo Snapshot Analysis

   Pages 45-66

6. Monte-Carlo Snapshot Analysis for WCDMA Network Performance Evaluation

   Pages 67-106

7. Analytical Performance Evaluation

   Pages 107-136

8. Automated Network Optimization

   Pages 137-154

9. Conclusions and Outlook

   Pages 155-156

10. Back Matter

    Pages 157-165

    PDF

When joining Siemens in 2001, I also extended my research interest towards radio net work planning methodologies. This area of research brought together my personal interest in mobile communications and in the design of ef?cient algorithms and data structures. Between 2001 and 2003, I participated in the EU project Momentum, which was target ing the performance evaluation and optimization of UMTS radio networks. In this project my main focus was on Monte Carlo snapshot techniques, shortly after I broadened my research scope towards network optimization techniques. Both constitute the basis of this thesis. Later I got the chance to bring in the ideas and methods of my thesis into a Siemens internal planning and optimization tool, the development of which I guided over the last two years. First of all I would like to thank Professor Dr. Carmelita Görg for supervising this thesis, for her guidance, and her encouragement. I very much appreciate that she although I, as an external Ph. D. student, was not part of her department at the University of Bremen was always very open for discussions and provided me with a large amount of useful suggestions over the past years. I without a doubt greatly bene?ted from this, both in my scienti?c work and personally. I am also deeply grateful for the comments and suggestions by Professor Dr. Thomas Kürner, who is also the second examiner of this thesis.

• Code Division Multiple Access
• Mobile Communications
• Mobile Radio Network Planning
• Radio Network Optimization
• Radio Network Simulation
• UMTS
• algorithms
• networks
• optimization
• performance
• simulation

Dr. Ulrich Türke promovierte bei Prof. Dr. Carmelita Görg am Fachbereich für Physik und Elektrotechnik der Universität Bremen. Er ist als Experte für Funknetzplanung und –optimierung bei der atesio GmbH in Berlin tätig.

Policies and ethics