Efficient Methods for WCDMA Radio Network Planning and Optimization
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.
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The WCDMA Air Interface
Modeling the Wireless Transmission Channel
MonteCarlo Snapshot Analysis
Snapshot Analysis for WCDMA Network Performance Evaluation
Analytical Performance Evaluation
Automated Network Optimization
Conclusions and Outlook
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3GPP algorithm applied azimuth best serving cell blocking probability calculated cell load levels cell TX power chapter coefficient considered Control Channel control variates data rate DL cell load DL power equations error fast fading Figure handover HSDPA HSUPA importance sampling interference levels iteration link gain load estimation matrix maximum mean absolute error mean cell TX mobile mobile/pixel Monte-Carlo method network planning Node number of required offered traffic outage output power parameters path loss performance evaluation pilot quality pixel power control radio network random variables received pilot reduction in estimating required snapshots resource scheduling RSCP scenario scrambling code Section servers shadow fading signal snapshot analysis soft handover static method statistical tabu search thesis tion traffic types transmission transmit power Transport Channel typically UL and DL UMTS users UTRAN values variance reduction WCDMA networks
Page xiv - DRNC Drift RNC DRX Discontinuous Reception DS-CDMA Direct Sequence Code Division Multiple Access DSCH Downlink Shared Channel DTCH Dedicated Traffic Channel DTM Dual Transfer Mode DTMF Dual Tone Multiple Frequency DTX Discontinuous Transmission DUP Data User Part E-AGCH E-DCH Absolute Grant Channel Ec/No Energia del chip diviso la densità di potenza in banda ECSD Enhanced CSD E-DCH Enhanced Dedicated Channel EDGE Enhanced Data rates for Global Evolution...