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 …

Enhancing resilience in mobile edge computing under processing uncertainty

S Li, C Li, Y Huang, BA Jalaian… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Task offloading is a powerful tool in Mobile Edge Computing (MEC). However, in many
practical scenarios, the number of required processing cycles of a task is unknown …

Exploring human resource management intelligence practices using machine learning models

SRK Indarapu, S Vodithala, N Kumar, S Kiran… - The Journal of High …, 2023 - Elsevier
The use of machine learning for recruitment has become one of the main themes in human
resources ever since machine learning software investigated the first recruitment software …

Predictive proactive caching in VANETs for social networking

SA Elsayed, S Abdelhamid… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social media traffic constitutes the highest percentage of Internet traffic. Such traffic is largely
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …

The wireless control plane: An overview and directions for future research

EDA Mazied, MY ElNainay, MJ Abdel-Rahman… - Journal of Network and …, 2019 - Elsevier
Abstract Software-defined networking (SDN), which has been successfully deployed in the
management of complex data centers, has recently been incorporated into a myriad of 5G …

Data-driven evaluation of anticipatory networking in LTE networks

N Bui, J Widmer - IEEE Transactions on Mobile Computing, 2018 - ieeexplore.ieee.org
Anticipatory networking is a recent branch of network optimization based on prediction of the
system state. Our work specifically tackles prediction-driven resource allocation for mobile …

ALSO-X#: Better convex approximations for distributionally robust chance constrained programs

N Jiang, W Xie - Mathematical Programming, 2024 - Springer
This paper studies distributionally robust chance constrained programs (DRCCPs), where
the uncertain constraints must be satisfied with at least a probability of a prespecified …

Robust controller placement and assignment in software-defined cellular networks

MJ Abdel-Rahman, EDA Mazied… - 2017 26th …, 2017 - ieeexplore.ieee.org
Software-defined cellular networks (SDCN) have been recently introduced to enable flexible
cellular network design that facilitates fulfilling 5G design requirements. Placement of …

Trajectory prediction with recurrent neural networks for predictive resource allocation

W Zhang, Y Liu, T Liu, C Yang - 2018 14th IEEE International …, 2018 - ieeexplore.ieee.org
Trajectory prediction of mobile users plays a key role in making the plan for predictive radio
resource allocation, ie, determining which base stations alongside the trajectory of a user …

Towards a sustainable Internet of Sounds

L Gabrielli, L Turchet - Proceedings of the 17th International Audio …, 2022 - dl.acm.org
The Internet of Sounds (IoS) is an emerging research area at the intersection of engineering
fields and humanities including computing, communication technology, audio signal …