Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Abstract Mobile Edge Computing (MEC) is a modern paradigm that involves moving
computing and storage resources closer to the network edge, reducing latency, and …
computing and storage resources closer to the network edge, reducing latency, and …
Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review
M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …
Machine Learning with Computer Networks: Techniques, Datasets and Models
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …
optimisation problems and managing network operations. Conversely, networks are …
Optimal sensing policy with interference-model uncertainty
Assume that an interferer behaves according to a parametric model but one does not know
the value of the model parameters. Sensing enables to improve the model knowledge and …
the value of the model parameters. Sensing enables to improve the model knowledge and …
[PDF][PDF] Machine Learning With Computer Networks: Techniques, Datasets, and Models
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …
optimisation problems and managing network operations. Conversely, networks are …
Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey
The emergence of 5G networks has increased the demand for network resources, making
efficient resource management crucial. Slice admission control (SAC) is a process that …
efficient resource management crucial. Slice admission control (SAC) is a process that …
[PDF][PDF] PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN
The highly heterogeneous ecosystem of Next Generation (NextG) wireless communication
systems calls for novel networking paradigms where functionalities and operations can be …
systems calls for novel networking paradigms where functionalities and operations can be …
[PDF][PDF] Joint Offloading-Scheduling Policies for Future Generation Wireless Networks
I DJEMAI - perso.telecom-paristech.fr
This thesis was carried out thanks to the funding" Bourse d'Excellence" from SAMOVAR
laboratory, Télécom SudParis, Institut Polytechnique de Paris. It has been conducted from …
laboratory, Télécom SudParis, Institut Polytechnique de Paris. It has been conducted from …