A Framework for Uplink Intercell Interference Modeling with Channel-Based Scheduling

TL;DR

This paper introduces a comprehensive analytical framework for modeling uplink intercell interference in multiuser cellular networks, accounting for various fading channels and scheduling schemes, and evaluates key performance metrics.

Contribution

It provides a novel semianalytical approach to quantify uplink ICI considering different scheduling schemes and fading models, with explicit MGF expressions and performance evaluations.

Findings

Derived explicit MGF expressions for uplink ICI under various fading models.

Validated analytical results with Monte-Carlo simulations.

Quantified impact of scheduling schemes on network performance metrics.

Abstract

This paper presents a novel framework for modeling the uplink intercell interference (ICI) in a multiuser cellular network. The proposed framework assists in quantifying the impact of various fading channel models and state-of-the-art scheduling schemes on the uplink ICI. Firstly, we derive a semianalytical expression for the distribution of the location of the scheduled user in a given cell considering a wide range of scheduling schemes. Based on this, we derive the distribution and moment generating function (MGF) of the uplink ICI considering a single interfering cell. Consequently, we determine the MGF of the cumulative ICI observed from all interfering cells and derive explicit MGF expressions for three typical fading models. Finally, we utilize the obtained expressions to evaluate important network performance metrics such as the outage probability, ergodic capacity, and average fairness numerically. Monte-Carlo simulation results are provided to demonstrate the efficacy of the derived analytical expressions.