Statistical Intercell Interference Modeling for Capacity-Coverage Tradeoff Analysis in Downlink Cellular Networks

TL;DR

This paper develops an analytical model for intercell interference in downlink cellular networks, accounting for fading and scheduling, to analyze the capacity-coverage tradeoff.

Contribution

It introduces a flexible interference modeling approach that incorporates various fading channels and scheduling schemes, aiding in capacity-coverage analysis.

Findings

Derived expressions for interference distribution under different fading models.

Quantified the impact of scheduling on capacity and coverage.

Provided tools for optimizing cellular network performance.

Abstract

Interference shapes the interplay between capacity and coverage in cellular networks. However, interference is non-deterministic and depends on various system and channel parameters including user scheduling, frequency reuse, and fading variations. We present an analytical approach for modeling the distribution of intercell interference in the downlink of cellular networks as a function of generic fading channel models and various scheduling schemes. We demonstrate the usefulness of the derived expressions in calculating location-based and average-based data rates in addition to capturing practical tradeoffs between cell capacity and coverage in downlink cellular networks.