Results 11 to 20 of about 55,472 (218)

A Survey on QoE-oriented Wireless Resources Scheduling [PDF]

open access: green, 2020
Future wireless systems are expected to provide a wide range of services to more and more users. Advanced scheduling strategies thus arise not only to perform efficient radio resource management, but also to provide fairness among the users. On the other
Queluz, Maria Paula   +2 more
core   +2 more sources

A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction

open access: yesIEEE Access, 2022
The groundbreaking evolution in mobile and wireless communication networks design in recent years, in combination with the advancement of mobile terminal equipment capabilities, has led in an exponential growth of mobile internet technologies, and arose ...
Georgios Kougioumtzidis   +3 more
doaj   +2 more sources

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

open access: yesIEEE Access, 2022
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging in the market and competing to offer their services.
Boonyarith Saovapakhiran   +4 more
doaj   +2 more sources

Joint Optimization of QoE and Fairness for Adaptive Video Streaming in Heterogeneous Mobile Environments

open access: goldIEEE/ACM Transactions on Networking, 2023
The rapid growth of mobile video traffic and user demand poses a more stringent requirement for efficient bandwidth allocation in mobile networks where multiple users may share a bottleneck link.
Yali Yuan   +6 more
openalex   +3 more sources

Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions

open access: yesIEEE Access, 2020
360-degree video provides an immersive experience to end-users through Virtual Reality (VR) Head-Mounted-Displays (HMDs). However, it is not trivial to understand the Quality of Experience (QoE) of 360-degree video since user experience is influenced by ...
Muhammad Shahid Anwar   +5 more
doaj   +2 more sources

Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services [PDF]

open access: yesIEEE Journal on Selected Areas in Communications, 2022
Metaverse encapsulates our expectations of the next-generation Internet, while bringing new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency communications (URLLC) can satisfy objective KPIs, it is difficult to ...
Hongyang Du   +6 more
semanticscholar   +1 more source

QoE-Aware Resource Allocation for Semantic Communication Networks [PDF]

open access: yesGlobal Communications Conference, 2022
With the aim of accomplishing intelligence tasks, semantic communications transmit task-related information only, yielding significant performance gains over conventional communications.
Leibing Yan   +4 more
semanticscholar   +1 more source

Estimating WebRTC Video QoE Metrics Without Using Application Headers [PDF]

open access: yesACM/SIGCOMM Internet Measurement Conference, 2023
The increased use of video conferencing applications (VCAs) has made it critical to understand and support end-user quality of experience (QoE) by all stakeholders in the VCA ecosystem, especially network operators, who typically do not have direct ...
Taveesh Sharma   +4 more
semanticscholar   +1 more source

A variegated look at 5G in the wild: performance, power, and QoE implications

open access: yesConference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2021
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the performance, power consumption, and application quality-of-experience (QoE) of commercial 5G networks in the wild.
Arvind Narayanan   +11 more
semanticscholar   +1 more source

Adaptive Modulation Method of EON based on Deep Neural Network

open access: yesGuangtongxin yanjiu, 2021
In order to maximize the total spectrum efficiency and improve the Quality of Experience (QoE) on Elastic Optical Network (EON), an adaptive modulation method based on Deep Neural Network (DNN) is proposed.
Jian-hua WANG, Yu-kun RAN, Jie ZHAO
doaj   +1 more source

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