| Building greenfield third generation (3G) mobile networks, expansion of existing 3G mobile networks, and integration of 3G mobile networks with 2G and/or other networks, requires extensive analysis and optimization related to WCDMA/CDMA 2000/TD-SCDMA network planning. 3G mobile networks require a new planning and optimization approach. An intuitive approach to resolving 3G related problems often leads to results inconsistent with reality, thus the efficient planning and optimization methods must be based on increasingly complex and sophisticated models.; To address the cell planning problem for systems with WCDMA air interface, the following information are usually supposed to be known: (i) a set of candidate sites where BSs can be installed, (ii) a set of possible configurations of each base station (rotation, tilt, height), (iii) the traffic distribution estimated by using empirical prediction models, and (iv) the propagation description based on approximate radio channel models or ray tracing techniques. To take into account SIR constraints, two power control (PC) models are considered: a power-based PC model which assumes that emission powers are adjusted to guarantee a target received power and a SIR-based PC model that assumes that emission powers are adjusted to guarantee a SIR target value to all active links.; This thesis presents optimization models for radio network planning in 3G downlink. The models concern optimization of the base station parameters such as base station location, maximum transmit power and antenna height, all of which can be individually assigned to each base station. All these choices must satisfy a set of constraints and optimize a set of objectives. We develop heuristic and stochastic optimization techniques for tackling this highly combinatorial problem. In this downlink work, an extensive experimental analysis is presented to compare the effects on the radio network capacity, coverage, and investment requirements between SIR-based power control mechanism and power-based power control mechanism, between uplink and downlink environment, and between different network elements cost configurations.; This thesis also uses tabu search to solve the 3G uplink cell planning problem as a discrete optimization problem, where base station location and configuration are basic decision variables. (Abstract shortened by UMI.)... |
