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Wireless control using reinforcement learning for practical web QoE

https://doi.org/10.1016/j.comcom.2020.02.032

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

inferredcites →https://doi.org/10.1007/978-3-030-10546-4_1openalex-snapshot

Introduction to Machine Learning

inferredcites →https://doi.org/10.1007/s11276-013-0572-2openalex-snapshot

A personalized QoE-aware handover decision based on distributed reinforcement learning

inferredcites →https://doi.org/10.1016/j.aasri.2012.06.059openalex-snapshot

A Transductive Support Vector Machine Algorithm Based on Spectral Clustering

inferredcites →https://doi.org/10.1016/j.comcom.2019.10.010openalex-snapshot

Ethanol: A Software-Defined Wireless Networking architecture for IEEE 802.11 networks

inferredcites →https://doi.org/10.1016/j.comnet.2015.06.016openalex-snapshot

Dynamic dual-reinforcement-learning routing strategies for quality of experience-aware wireless mesh networking

inferredcites →https://doi.org/10.1016/j.patrec.2009.09.011openalex-snapshot

Data clustering: 50 years beyond K-means

inferredcites →https://doi.org/10.1016/s0004-3702(02)00121-2openalex-snapshot

Multiagent learning using a variable learning rate

inferredcites →https://doi.org/10.1017/cbo9780511569920.017openalex-snapshot

A Bayesian Approach to On-line Learning

inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot

Finite-time Analysis of the Multiarmed Bandit Problem

inferredcites →https://doi.org/10.1080/09540091.2014.885273openalex-snapshot

Design and optimisation of a (FA)Q-learning-based HTTP adaptive streaming client

inferredcites →https://doi.org/10.1108/k.2010.06739hae.001openalex-snapshot

Introduction to Machine Learning

inferredcites →https://doi.org/10.1109/26.803503openalex-snapshot

Finite-state Markov model for Rayleigh fading channels

inferredcites →https://doi.org/10.1109/5gwf.2018.8516939openalex-snapshot

QoE-Driven Integrated Heterogeneous Traffic Resource Allocation Based on Cooperative Learning for 5G Cognitive Radio Networks

inferredcites →https://doi.org/10.1109/access.2018.2889999openalex-snapshot

QoE-Oriented Rate Adaptation for DASH With Enhanced Deep Q-Learning

inferredcites →https://doi.org/10.1109/cdc.1995.478953openalex-snapshot

Neuro-dynamic programming: an overview

inferredcites →https://doi.org/10.1109/chicc.2006.280554openalex-snapshot

The 26th Chinese Control Conference

inferredcites →https://doi.org/10.1109/chicc.2015.7260662openalex-snapshot

A multi-agent reinforcement learning based approach to Quality of Experience control in Future Internet networks

inferredcites →https://doi.org/10.1109/gcwkshps30551.2012openalex-snapshot

2012 IEEE Globecom Workshops

inferredcites →https://doi.org/10.1109/globecom18177.2014openalex-snapshot

2014 IEEE Global Communications Conference

inferredcites →https://doi.org/10.1109/glocom.2015.7417656openalex-snapshot

QoE Provisioning by Random Access in Next-Generation Wireless Networks

inferredcites →https://doi.org/10.1109/glocom.2016.7841518openalex-snapshot

A Multiple Attribute User-Centric Backhaul Provisioning Scheme Using Distributed SON

inferredcites →https://doi.org/10.1109/glocomw.2012.6477773openalex-snapshot

Online learning for QoE-based video streaming to mobile receivers

inferredcites →https://doi.org/10.1109/icc.2012.6364307openalex-snapshot

Global state-dependent QoE based routing

inferredcites →https://doi.org/10.1109/icc.2012.6365058openalex-snapshot

ICC'12 WS — ViOpt: Realizing advanced video optimized wireless networks — Program

inferredcites →https://doi.org/10.1109/iccomm.2010.5509022openalex-snapshot

Self-Organizing Networks: State-of-the-art, challenges and perspectives

inferredcites →https://doi.org/10.1109/issnip.2007.4496871openalex-snapshot

Machine Learning Techniques Applied to Wireless Ad-Hoc Networks: Guide and Survey

inferredcites →https://doi.org/10.1109/jsac.2012.120808openalex-snapshot

MOS-Based Congestion Control for Conversational Services in Wireless Environments

inferredcites →https://doi.org/10.1109/jsac.2014.141115openalex-snapshot

A Learning-Based QoE-Driven Spectrum Handoff Scheme for Multimedia Transmissions over Cognitive Radio Networks

inferredcites →https://doi.org/10.1109/jsac.2019.2916487openalex-snapshot

Procuring Spontaneous Session-Level Resource Guarantees for Real-Time Applications: An Auction Approach

inferredcites →https://doi.org/10.1109/mcom.2012.6384463openalex-snapshot

A unified framework for self-healing in wireless networks

inferredcites →https://doi.org/10.1109/mcom.2022.9743375openalex-snapshot

IEEE Wireless Communications and Networking Conference

inferredcites →https://doi.org/10.1109/mwc.2019.1800440openalex-snapshot

Improving Cloud Gaming Experience through Mobile Edge Computing

inferredcites →https://doi.org/10.1109/nca.2003.1201163openalex-snapshot

Theoretical maximum throughput of IEEE 802.11 and its applications

inferredcites →https://doi.org/10.1109/noms.2018.8406167openalex-snapshot

HomeNetRescue: An SDN service for troubleshooting home networks

inferredcites →https://doi.org/10.1109/noms10979.2006openalex-snapshot

2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006

inferredcites →https://doi.org/10.1109/qomex.2018.8463409openalex-snapshot

360° Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach

inferredcites →https://doi.org/10.1109/surv.2011.040310.00002openalex-snapshot

Computational Intelligence in Wireless Sensor Networks: A Survey

inferredcites →https://doi.org/10.1109/tccn.2017.2755007openalex-snapshot

D-DASH: A Deep Q-Learning Framework for DASH Video Streaming

inferredcites →https://doi.org/10.1109/tetc.2018.2805718openalex-snapshot

Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT

inferredcites →https://doi.org/10.1109/tmm.2013.2247583openalex-snapshot

QoE-Driven Cache Management for HTTP Adaptive Bit Rate Streaming Over Wireless Networks

inferredcites →https://doi.org/10.1109/wcnc.2014.6953124openalex-snapshot

Reinforcement learning method for QoE-aware optimization of content delivery

inferredcites →https://doi.org/10.1145/2491224openalex-snapshot

Proceedings of the 3rd ACM SIGCOMM workshop on Information-centric networking

inferredcites →https://doi.org/10.1145/2491224.2491240openalex-snapshot

CodingCache

inferredcites →https://doi.org/10.1145/2940136.2940146openalex-snapshot

Predicting the effect of home Wi-Fi quality on Web QoE

inferredcites →https://doi.org/10.1155/2013/165146openalex-snapshot

Survey and Challenges of QoE Management Issues in Wireless Networks

inferredcites →https://doi.org/10.1201/9781315382159openalex-snapshot

A First Course in Machine Learning

inferredcites →https://doi.org/10.13140/rg.2.1.1950.6961openalex-snapshot

Network Programmability Using POX Controller

inferredcites →https://doi.org/10.48550/arxiv.cs/9809099openalex-snapshot

A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems

inferredcites →https://doi.org/10.5220/0003755300450054openalex-snapshot

SPARSE QUASI-NEWTON OPTIMIZATION FOR SEMI-SUPERVISED SUPPORT VECTOR MACHINES

inferredcites →https://doi.org/10.5555/1248547.1248612openalex-snapshot

Collaborative Multiagent Reinforcement Learning by Payoff Propagation

inferredcites →https://doi.org/10.5555/1390681.1390688openalex-snapshot

Optimization Techniques for Semi-Supervised Support Vector Machines

inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot

Advances in Neural Information Processing Systems 14

inferredcites →https://doi.org/10.7551/mitpress/3206.001.0001openalex-snapshot

Gaussian Processes for Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-43247-7_42openalex-snapshot

Machine Learning for Fog Computing: Perceiving QoE for IoT Applications

inferred← citeshttps://doi.org/10.1016/j.cej.2025.166668openalex-snapshot

Intelligent aeration strategy for optimizing food waste composting and enhancing humification

inferred← citeshttps://doi.org/10.1109/access.2022.3197585openalex-snapshot

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management

inferred← citeshttps://doi.org/10.1109/latincom59467.2023.10361880openalex-snapshot

Data Consumption and User Experience in Video Lecture Sessions via Mobile Telephony Network

inferred← citeshttps://doi.org/10.1109/netsoft57336.2023.10175441openalex-snapshot

Transfer Learning-Based QoE Estimation For Different Cloud Gaming Contexts

inferred← citeshttps://doi.org/10.1109/tnsm.2021.3121468openalex-snapshot

Validation of HTTP Response Time From Network Traffic as an Alternative to Web Browser Instrumentation

inferred← citeshttps://doi.org/10.1109/tnsm.2021.3129610openalex-snapshot

Estimating Video on Demand QoE From Network QoS Through ICMP Probes

inferred← citeshttps://doi.org/10.1109/tnsm.2023.3244090openalex-snapshot

Container Scheduling in Co-Located Environments Using QoE Awareness

inferred← citeshttps://doi.org/10.1145/3709371openalex-snapshot

Maestro: QoE-Aware Dynamic Resource Allocation in Wi-Fi Networks

inferred← citeshttps://doi.org/10.23919/cnsm59352.2023.10327822openalex-snapshot

Improved Video QoE in Wireless Networks Using Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.3390/electronics11111732openalex-snapshot

An Intelligent Perception Model and Parameters Adjust Method for Quality of Experience

inferred← citeshttps://doi.org/10.63028/10067/2105470151162165141openalex-snapshot

Network slicing for QoS and QoE driven network management

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