Spatio-temporal characterization for mobile service usage based on spectrum measurement

As a promising technology to address the issue of spectrum scarcity, cognitive radio (CR) has been receiving an increasing attention in recent years and existing works suggested that mobile service band could potentially present reuse opportunities for unlicensed access. In this sense, understanding mobile service´s temporal and spatial dynamics can be of great help on spectrum management for mobile service band. In this paper, we perform in-depth theoretical analysis on the probability distribution of wireless signal strength received from mobile stations and propose a polylogarithm-like statistical model that characterizes mobile service usage´s spatio-temporal dynamics (e.g., temporal and spatial density). To validate the proposed model, we perform empirical studies on the spectrum measurement data collected in an open area and fit the overall signal strength´s probability density function (PDF) and cumulative distribution function (CDF) with the proposed model. The results indicate a significant fitting and testify the applicability of the proposed model to estimate the temporal and spatial density of mobile services in open areas.