Dynamic W-CDMA network planning using mobile location

Situation-aware wireless networks

“…Location-aided planning allows a situationaware base station to optimize radio resource allocation and augment the radio resource management (RRM) capability of the network [4]. The accuracy of propagation models varies greatly.…”

“…For this purpose, site-specific coverage prediction data is generated using a 3D building, foliage, and terrain database for a central region of Bristol, United Kingdom. An initial deployment is performed using the Combination Algorithm for Total Optimization (CAT) [4]. CAT selects sites optimized to meet initial coverage and capacity requirements.…”

“…A well developed fully three-dimensional deterministic propagation model is used to generate the time-varying propagation data required in this study. The model uses geographic data (terrain, building, foliage, and ground cover) to predict power as well as time, frequency, and spatial dispersion in the radio channel [4]. It is optimized for intracellular coverage as well as intercellular predictions (interference) between different cells in a mixed-cell network.…”