Concept

Gestion de la capacité

Publications associées (33)

Learning a QoE Metric from Social Media and Gaming Footage

Defining a universal metric for Quality of Experience (QoE) is notoriously hard due to the complex relationship between low-level performance metrics and user satisfaction. The most common metric, the Mean Opinion Score (MOS), has well-known biases and inc ...

2023

Toward Internet Performance Transparency

Georgia Fragkouli

From medical support to education and remote work, our everyday lives increasingly depend on Internet performance. When users experience poor performance, however, the decentralization of the Internet allows limited visibility into which network is respons ...

EPFL2022

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Volkan Cevher

Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been in the limelight because of many recent breakthroughs in artificial intelligence, including defeating humans in games (e.g., chess, Go, StarCraft), self-driving cars, s ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie in low-dimensional ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

Part & x00A0;I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Decentralized exact coupled optimization

Ali H. Sayed, Kun Yuan, Sulaiman A S A E Alghunaim

This work develops an exact converging algorithm for the solution of a distributed optimization problem with partially-coupled parameters across agents in a multi-agent scenario. In this formulation, while the network performance is dependent on a collecti ...

2017

Enhancing model-based feedback perimeter control with data-driven online adaptive optimization

Nikolaos Geroliminis, Anastasios Kouvelas, Mohammadreza Saeedmanesh

Most feedback perimeter control approaches that are based on the Macroscopic Fundamental Diagram (MFD) and are tested in detailed network structures restrict inflow from the external boundary of the network. Although such a measure is beneficial for the ne ...

2017

Equilibrium analysis and route guidance in large-scale networks with MFD dynamics

Nikolaos Geroliminis, Mehmet Yildirimoglu, Mohsen Ramezani Ghalenoei

Recent studies have demonstrated that Macroscopic Fundamental Diagram (MFD), which provides. an aggregated model of urban traffic dynamics linking network production and density, offers a new generation of real-time traffic management strategies to improve ...

Pergamon-Elsevier Science Ltd2015

Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei, Jack Haddad

Real traffic data and simulation analysis reveal that for some urban networks a well-defined Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low-scatter relationship between the network vehicle density and outflow. Recent studie ...

2015

Network Coding

Mahdi Jafari Siavoshani

The demand for higher throughput and better efficiency are two important challenges for future communication networks. During the past decades, a lot of research studies have been devoted to investigating and proposing near optimal and efficient schemes an ...

EPFL2012

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