Worst-case User Analysis in Poisson Voronoi Cells

TL;DR

This paper analyzes the worst-case mobile user performance in cellular networks using stochastic geometry, revealing significant reductions in coverage and spectral efficiency, and explores improvements via coordinated scheduling.

Contribution

It provides the first analytical characterization of worst-case user performance in Poisson Voronoi cells and evaluates the impact of coordinated scheduling.

Findings

Worst-case MU coverage probability drops to 23% of typical MU

Spectral efficiency of worst-case MU drops to 19% of typical MU

Coordinated scheduling improves worst-case MU performance

Abstract

In this letter, we focus on the performance of a worst-case mobile user (MU) in the downlink cellular network. We derive the coverage probability and the spectral efficiency of the worst-case MU using stochastic geometry. Through analytical and numerical results, we draw out interesting insights that the coverage probability and the spectral efficiency of the worst-case MU decrease down to 23% and 19% of those of a typical MU, respectively. By applying a coordinated scheduling (CS) scheme, we also investigate how much the performance of the worst-case MU is improved.