Empirical investigation on the dependence of TCP upstream throughput on SNR in an IEEE802. 11b WLAN system

O Ikponmwosa, OE Fredrick, E Joy… - 2014 21st International …, 2014 - ieeexplore.ieee.org
An empirical investigation on the dependence of TCP upstream throughput against signal to
noise ratio (SNR) in an IEEE802. 11b WLAN system was carried out in various environments …

An empirical model of TCP performance

AB Downey - 13th IEEE International Symposium on Modeling …, 2005 - ieeexplore.ieee.org
We propose a model of TCP performance that captures the behavior of a set of network
paths with diverse characteristics. The model uses more parameters than others, but we …

Performance Enhancement Technique for TCP over Mobile Ad Hoc Networks

SJ Jung, MG Kim, BH Rhee - 2006 International Conference on …, 2006 - ieeexplore.ieee.org
Ad hoc networks are wireless networks of mobile nodes, self-organizing systems formed by
co-operating nodes within communication range of each other that form temporary networks …

Using path prediction to improve TCP performance in wireless/mobile communications

S Hadjiefthymiades, S Papayiannis… - IEEE Communications …, 2002 - ieeexplore.ieee.org
The operation of TCP in wireless mobile environments is discussed. After presenting
previous efforts to ameliorate TCP performance in the considered environments, we propose …

Machine learning and deep learning for throughput prediction

D Lee, J Lee - … Conference on Ubiquitous and Future Networks …, 2021 - ieeexplore.ieee.org
Wireless communication contains many fluctuations than wired networks. In this paper, we
present several machine learning and deep learning models to predict future network …

Can we achieve better wireless traffic prediction accuracy?

J Guo, Y Chen, J Zhu, S Zhang - IEEE Communications …, 2021 - ieeexplore.ieee.org
Wireless traffic prediction is of great significance in wireless networks and communication
systems, and has been widely studied. However, the theoretical limits of this prediction …

Deep Learning based Mobile Traffic Flow Prediction Model in 5G Cellular Networks

E Selvamanju, VB Shalini - 2022 3rd International Conference …, 2022 - ieeexplore.ieee.org
Due to drastic development of smart phone devices, there is a considerable increase in
mobile traffic flow that is provided difficulty on the fifth generation (5G) cellular networks. The …

Performance analysis of ML-based MTC traffic pattern predictors

DE Ruíz-Guirola, OLA López… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Prolonging the lifetime of massive machine-type communication (MTC) networks is key to
realizing a sustainable digitized society. Great energy savings can be achieved by …

[PDF][PDF] A New Method for Traffic Prediction in Emerging Mobile Networks.

Y Jia, B Wan, L Liang, Q Zhao, Y Zhang, L Tan - J. Commun., 2015 - academia.edu
With the increasing popularity of mobile devices and applications, emerging mobile network
traffic exhibits special characteristics in temporal scale eg, there is a scale variance between …

[PDF][PDF] Measurement and Forecasting of Next Generation Wireless Internet Traffic

S Maheshwari, S Mahapatra, K Cheruvu - 2018 - academia.edu
Next Generation Wireless Internet will comprise heterogeneous networks connected to
seamlessly access multitude of applications and services; managing traffic will become very …