Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks

04/18/2018
by   Yi Zhong, et al.
0

The traffic in wireless networks has become diverse and fluctuating both spatially and temporally due to the emergence of new wireless applications and the complexity of scenarios. The purpose of this paper is to explore the impact of the wireless traffic, which fluctuates violently both spatially and temporally, on the performance of the wireless networks. Specially, we propose to combine the tools from stochastic geometry and queueing theory to model the spatial and temporal fluctuation of traffic, which to our best knowledge has seldom been evaluated analytically. We derive the spatial and temporal statistics, the total arrival rate, the stability of queues and the delay of users by considering two different spatial properties of traffic, i.e., the uniformly and non-uniformly distributed cases. The numerical results indicate that although the fluctuations of traffic when the users are clustered, reflected by the variance of total arrival rate, is much fiercer than that when the users are uniformly distributed, the stability performance is much better. Our work provides a useful reference for the design of wireless networks when the complex spatio-temporal fluctuation of the traffic is considered.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 10

page 26

page 27

page 28

research
02/01/2021

Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial

The performance of wireless networks is fundamentally limited by the agg...
research
06/16/2020

Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users

Emergence of various types of services has brought about explosive growt...
research
12/13/2016

Spatial multi-LRU: Distributed Caching for Wireless Networks with Coverage Overlaps

This article introduces a novel family of decentralised caching policies...
research
01/28/2016

SculptStat: Statistical Analysis of Digital Sculpting Workflows

Targeted user studies are often employed to measure how well artists can...
research
08/04/2023

Learning to Schedule in Non-Stationary Wireless Networks With Unknown Statistics

The emergence of large-scale wireless networks with partially-observable...
research
12/19/2018

Statistical learning of geometric characteristics of wireless networks

Motivated by the prediction of cell loads in cellular networks, we formu...
research
05/09/2019

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches

Traffic prediction plays a vital role in efficient planning and usage of...

Please sign up or login with your details

Forgot password? Click here to reset