Generalized Bayesian hypothesis testing for cell coverage determination

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 a minimum number of handoffs. Traditional algorithms rely on hysteresis levels to determine the serving base station when a handoff is requested. In this work, optimal hysteresis levels are generated using Bayesian hypothesis tests allowing to incorporate in the hysteresis level information such as call processing costs, mobility profiles, cell sizes and traffic unbalance. Hysteresis impact on handoff uncertainty is assessed through an entropic indicator