UMTS Network Planning Using Genetic Algorithms
Free (open access)
F. Garzia, C. Perna & R. Cusani
The continuously growing of cellular net complexity, that followed the introduction of UMTS technology, has reduced the usefulness of traditional design tools, making them quite unworthy. The purpose of this paper is to illustrate a design tool for UMTS optimized net planning based on genetic algorithms. In particular, some utilities for 3G net designers, useful to respect important aspects (such as the environmental one) of the cellular net, are shown. Keywords: UMTS network planning, genetic algorithms. 1 Introduction The extraordinary growth of mobile telecommunication sector of the last years has implied strong economical investments of enterprises that operate in this vital sector, in particular way from the net infrastructure point of view. The development of third generation mobile communication (3G) such as UMTS, with the related advanced allowed services, has increased the need of an efficient network planning that could keep into account all the aspects of complexity which are typical of this new technology, changing the traditional approach to this kind of problem [1-3]. In fact, even if the WCDMA techniques used by UMTS reduces the problems related to the frequency management, the capacity of the net represents a vital problem since the capacity of each radio cell is strongly related to the signal – interference ratio (SIR), that is a function of the number and of the kind of active users inside each communication cell [2-3]. The need of reduction of radiated power, due to environmental restrictions, and the need of guaranteeing a good quality of services, requires a capillary
UMTS network planning, genetic algorithms.