Performance Analysis in Heterogeneous Networks with Spatiotemporal Traffic and Scheduling

Jianfang Xin,Tianjiao Zhang,Ying Wang,Qi Zhu,Guangjun Liang

doi:10.3390/app10082901

Abstract

In this work, we consider interference performance under direct data transmission in a heterogeneous network. The heterogeneous network consists of K-tier base stations and users, whose locations follow independent Poisson point processes (PPPs). Packet arrivals of users follow independent Bernoulli processes. Two different scheduling policies, round-robin (RR) and random scheduling (RS), are employed to all the Base Stations (BS). The universal frequency reuse mode is adopted to reveal actual spectrum reuse. By leveraging stochastic geometry and queueing theory, the interference interactions of the proposed network are accurately modelled. Accurate expressions for the mean packet throughputs of the network under universal frequency reuse mode are derived. The simulation results explore the optical bias factors in heterogeneous networks to maximize the mean packet throughput. Under a given user density, by changing BS densities, we achieved a certain mean packet throughput level.

Highlights

With the development of the fifth generation (5G) communication network, the increase in data traffic has increasing raised service quality requirements
To account for the actual dynamic traffic in cellular networks, stochastic geometry was combined with queueing theory to establish spatiotemporal models to capture both spatial distribution randomness and packet arrival randomness [1,2,3]
Rayleigh fading is applicable to the case where there is no direct signal from the transmitter to the receiver, and it is especially suitable for complex heterogeneous network scenarios

Summary

Introduction

With the development of the fifth generation (5G) communication network, the increase in data traffic has increasing raised service quality requirements. To account for the actual dynamic traffic in cellular networks, stochastic geometry was combined with queueing theory to establish spatiotemporal models to capture both spatial distribution randomness and packet arrival randomness [1,2,3]. Sci. 2020, 10, 2901 a cellular heterogeneous network, considering randomly generated data traffic They evaluated the delay performance of three scheduling schemes: RS, first-in first-out scheduling, and round-robin (RR) protocol. A spatiotemporal model is developed in a K-tier heterogeneous network (HetNet), where the data packets’ arrival of each user are initiated randomly and the BS locations in each tier are modelled as independent PPPs. The effects of bias association, scheduling schemes, and universal frequency reuse (UFR) mode are all considered to more realistically reveal the HetNet scenario. By adopting stochastic geometry and queueing theory, accurate expressions of mean packet throughputs of the network are derived, which can help provide insights into system designs associating with packet throughput

System Model

Preliminaries

Mean Packet Throughput of the Heterogeneous Network with UFR

Numerical and Simulation Results

Conclusions