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

Abstract

Develops a simple but very accurate analytical model for a channel borrowing based dynamic channel assignment strategy in both one-dimensional (linear) and two-dimensional (planar) microcellular systems. The 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. The authors call this the cell group decoupling analysis. This analysis is applicable to both homogeneous and heterogeneous traffic distributions. In linear microcellular systems, they 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. In planar microcellular systems, the analytical model can no longer guarantee an upper bound on the blocking probabilities. But very close agreement with the simulation results is observed. Also, the 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. >