A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

A survey on virtual network functions for media streaming: Solutions and future challenges

R Viola, Á Martín, M Zorrilla, J Montalbán… - ACM Computing …, 2023 - dl.acm.org
Media services must ensure an enhanced user's perceived quality during content playback
to attract and retain audiences, especially while the streams are distributed remotely via …

Energy-efficient adaptive video transmission: Exploiting rate predictions in wireless networks

H Abou-Zeid, HS Hassanein… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The unprecedented growth of mobile video traffic is adding significant pressure to the
energy drain at both the network and the end user. Energy-efficient video transmission …

Quantifying potential energy efficiency gain in green cellular wireless networks

K Davaslioglu, E Ayanoglu - IEEE Communications Surveys & …, 2014 - ieeexplore.ieee.org
Conventional cellular wireless networks were designed with the purpose of providing high
throughput for the user and high capacity for the service provider, without any provisions of …

A clustering-driven approach to predict the traffic load of mobile networks for the analysis of base stations deployment

B Mahdy, H Abbas, HS Hassanein, A Noureldin… - Journal of Sensor and …, 2020 - mdpi.com
Mobile network traffic is increasing in an unprecedented manner, resulting in growing
demand from network operators to deploy more base stations able to serve more devices …

Joint chance-constrained predictive resource allocation for energy-efficient video streaming

R Atawia, H Abou-Zeid, HS Hassanein… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
Predictive resource allocation (PRA) techniques that exploit knowledge of the future signal
strength along roads have recently been recognized as promising approaches to save base …

Energy-saving predictive resource planning and allocation

C Yao, C Yang, Z **ong - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Predictive resource allocation is an emerging approach to improve the performance of
mobile systems as human behavior is reported predictable by leveraging big data analytics …

Deep learning-based forecasting of cellular network utilization at millisecond resolutions

AM Nagib, H Abou-Zeid, HS Hassanein… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The ability to accurately forecast network resource utilization is vital in next-generation
wireless networks. Based on the predicted load, telecom operators can proactively allocate …

A review of big data resource management: Using smart grid systems as a case study

MF Khan, M Azam, MA Khan, F Algarni… - Wireless …, 2021 - Wiley Online Library
Big data has recently been a prominent topic of research due to the exponential growth of
data every year. This massive growth of data is causing problems with resource …

Energy-efficient base station control framework for 5G cellular networks based on Markov decision process

F Elsherif, EKP Chong, JH Kim - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We study the problem of base station (BS) dynamic switching for energy efficient design of
fifth-generation (5G) cellular networks and beyond. We formulate this problem as a Markov …