A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications

J Xie, Z Song, Y Li, Y Zhang, H Yu… - Wireless …, 2018 - Wiley Online Library
This paper attempts to identify the requirement and the development of machine learning‐
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

[HTML][HTML] Environmental impact assessment of online advertising

M Pärssinen, M Kotila, R Cuevas, A Phansalkar… - Environmental Impact …, 2018 - Elsevier
There are no commonly agreed ways to assess the total energy consumption of the Internet.
Estimating the Internet's energy footprint is challenging because of the interconnectedness …

Personalized service degradation policies on OTT applications based on the consumption behavior of users

JS Rojas, AR Gallón, JC Corrales - … , Melbourne, VIC, Australia, July 2–5 …, 2018 - Springer
The proliferation of IP-based telecommunication networks has facilitated the decoupling of
application and network layers. This kind of systems allows that Over the Top (OTT) …

Wireless traffic usage forecasting using real enterprise network data: Analysis and methods

SP Sone, JJ Lehtomäki, Z Khan - IEEE Open Journal of the …, 2020 - ieeexplore.ieee.org
Wireless traffic usage forecasting methods can help to facilitate proactive resource allocation
solutions in cloud managed wireless networks. In this paper, we present temporal and …

Analysis of smart citizens: A fuzzy based approach

MW Nadeem, M Hussain, MA Khan… - 2019 International …, 2019 - ieeexplore.ieee.org
Advancement in the technology is drawing an positive and prosperous impact on human life.
Thus, the development of smart city applications and services enhances the way of life style …

Prophet model and Gaussian process regression based user traffic prediction in wireless networks

Y Li, Z Ma, Z Pan, N Liu, X You - Science China Information Sciences, 2020 - Springer
User traffic prediction is an important topic for wireless network operators. A user traffic
prediction method based on Prophet and Gaussian process regression is proposed in this …

Cellular network traces towards 5G: Usage, analysis and generation

F Malandrino, CF Chiasserini… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Deployment and demand traces are a crucial tool to study today's LTE systems, as well as
their evolution toward 5G. In this paper, we use a set of real-world, crowdsourced traces …

Distinguishing between smartphones and IoT devices via network traffic

S Hui, H Wang, D Xu, J Wu, Y Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices are increasingly growing in mobile networks with the ubiquity
of various IoT services. They share the same infrastructure with smartphones while having …

Double Deep Q-Network based Joint Edge Caching and Content Recommendation with Inconsistent File Sizes in Fog-RANs

J Yan, M Zhang, Y Jiang, FC Zheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, the joint edge caching and content recommendation problem for the case of
inconsistent file sizes is investigated for fog radio access networks (F-RANs). Firstly, we …

Survey of wireless big data

L Qian, J Zhu, S Zhang - Journal of Communications and …, 2017 - ieeexplore.ieee.org
Wireless big data describes a wide range of massive data that is generated, collected and
stored in wireless networks by wireless devices and users. While these data share some …