Cell group decoupling analysis of a dynamic channel assignment strategy in linear microcellular radio systems

Abstract

In this paper, we develop a simple but very accurate analytical model for a channel borrowing based dynamic channel assignment strategy in linear microcellular systems. Our approach is to decouple a particular cell together with its neighbors, i.e., those cells under its interference range, from the rest of the system for finding the blocking probability of that cell. We call this the cell group decoupling analysis. This analysis is applicable to both homogeneous and heterogeneous traffic distributions. We show that the effect of this decoupling causes the blocking probability so obtained to be an upper bound. The bound is found to be very tight when compared with simulation results. Besides, this analysis gives accurate results to boundary cells as well as inner cells, and is therefore quite different from the other approaches which neglect boundary effects.