Cell coverage determination using optimal detection

The task of determining the best base station to serve a mobile user is a key process in cellular systems. Optimal selection of a serving base station guarantees high quality calls and minimum number of handovers. Traditional algorithms employ hysteresis levels to determine the serving base station when a handover is requested. In this work optimal hysteresis levels are generated using Bayesian hypothesis tests. The proposed methodology allows to incorporate information as call processing costs, mobility profiles, cell sizes and traffic in the process of base station determination. Hysteresis impact on handoff uncertainty is assessed through an entropic indicator.