An Intercell Interference Model based on Scheduling for Future Generation Wireless Networks (Part 1 and Part 2)

TL;DR

This paper develops a comprehensive analytical framework for modeling intercell interference in multiuser wireless networks, considering various scheduling schemes and fading models, and evaluates their impact on network performance.

Contribution

It introduces a novel semi-analytical model for uplink and downlink intercell interference considering scheduling and fading, including power adaptation effects.

Findings

Greedy scheduling with power adaptation reduces ICI.

Power adaptation decreases average user power consumption.

The model accurately predicts outage probability and capacity.

Abstract

This technical report is divided into two parts. The first part 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 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 {\bf The first part of the technical report is currently submitted to IEEE Transactions on Wireless Communications}. 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.