# An Intercell Interference Model based on Scheduling for Future Generation Wireless Networks (Part I and Part II) 

Hina Tabassum $^{∗}$, Ferkan Yilmaz$^{∗}$, Zaher Dawy $^{⋆}$, Mohamed-Slim Alouini ∗ 

## Abstract 

This technical report is divided into two parts. The first par t of the technical report presents a novel framework for modeling the uplink and downlink intercell interference (ICI) in a multiuser cellular network. The proposed framework assists in quantifying the impact of various fading channel models and multiuser scheduling schemes on the uplink and downlink ICI. Firstly, we derive a semi-analytical 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 ICI considering a single interfering cell. Consequently, we determine the MGF of the cumulative ICI observed from all interfering cells and derive explicit MGF expres- sions 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 efficacyof the derived analytical expressions$^{1}$. 

The second part of the technical report deals with the statistical modeling of uplink inter-cell interference (ICI) considering greedy scheduling with power adaptation based on channel conditions. The derived model is utilized to evaluate important network performance metrics such as ergodic capacity, average fairness and average power preservation numerically. In parallel to the literature, we have shown that greedy scheduling with power adaptation reduces the ICI, average power consumption of users, and enhances the average fairness among users, compared to the case without power adaptation. 

## Part I of the Technical Report 

## I. PART I: INTRODUCTION 

Explosive growth in the demand of high quality wireless data services compel the network designers to utilize spectrum more aggressively which on one side enhances the spectrum efficiency, whereas 

