Improved Video QoE in Wireless Networks Using Deep Reinforcement Learning

HD Moura, JM Oliveira, D Soares… - … on Network and …, 2023 - ieeexplore.ieee.org
Millions of videos are watched per minute on the Internet. Due to real-time performance
demands, such as high-quality video streaming, network administrators face new challenges …

Practical Bandwidth Allocation for Video QoE Fairness

W Jiang, P Ning, Z Zhang, J Hu, Z Ren… - … Algorithms, Systems, and …, 2021 - Springer
Nowadays, the QoE unfairness problem exists under the scenario of multiple clients sharing
bottleneck links, as clients just maximize their Quality of Experience (QoE) independently via …

Enhancing IEEE 802.11 Standard with Deep Reinforcement Learning for Optimal Channel Access

SCDSJ Cruz, FAP de Figueiredo… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
According to IEEE 802.11 standard, the collision avoidance mechanism is not the most
efficient as it relies on a binary exponential backoff (BEB) algorithm. This algorithm …

An intelligent video streaming mechanism based on a deep Q-Network for QoE enhancement

IS Kim, S Hong, S Jung, K Lim - Journal of Korea Multimedia …, 2018 - koreascience.kr
With recent development of high-speed wide-area wireless networks and wide spread of
highperformance wireless devices, the demand on seamless video streaming services in …

QFlow: A reinforcement learning approach to high QoE video streaming over wireless networks

R Bhattacharyya, A Bura, D Rengarajan… - Proceedings of the …, 2019 - dl.acm.org
Wireless Internet access has brought legions of heterogeneous applications all sharing the
same resources. However, current wireless edge networks that cater to worst or average …

Perceptual QoE-optimal resource allocation for adaptive video streaming

N Eswara, S Chakraborty, HP Sethuram… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Video streaming in mobile environments has always been challenging due to various
factors. The time-varying wireless channel, limited and shared transmission resources …

Wireless LAN performance enhancement using double deep Q-networks

K Asaf, B Khan, GY Kim - Applied Sciences, 2022 - mdpi.com
Due to the exponential growth in the use of Wi-Fi networks, it is necessary to study its usage
pattern in dense environments for which the legacy IEEE 802.11 MAC (Medium Access …

High throughput and QoE fairness algorithms for HD video transmission over IEEE802. 11ac networks

S Nosheen, JY Khan - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
High capacity IEEE802. 11 networks are increasingly supporting data intensive applications.
Most of streaming applications are using high quality variable rate traffic which includes HD …

Applying deep reinforcement learning to improve throughput and reduce collision rate in IEEE 802.11 networks

CH Ke, L Astuti - KSII Transactions on Internet and Information …, 2022 - koreascience.kr
Abstract The effectiveness of Wi-Fi networks is greatly influenced by the optimization of
contention window (CW) parameters. Unfortunately, the conventional approach employed …

Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning

W Wydmański, S Szott - 2021 IEEE wireless communications …, 2021 - ieeexplore.ieee.org
The proper setting of contention window (CW) values has a significant impact on the
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …