Results 161 to 170 of about 55,472 (218)

QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization

IEEE Transactions on Network Science and Engineering, 2023
This article is concerned with the issue of improving video subscribers' quality of experience (QoE) by deploying a multi-unmanned aerial vehicle (UAV) network.
Kesong Wu, Xianbin Cao, Pengbin Yang, Zongyang Yu, Dapeng Oliver Wu, Tony Q. S. Quek   +5 more
semanticscholar   +1 more source

XLINK: QoE-driven multi-path QUIC transport in large-scale video services

Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2021
We report XLINK, a multi-path QUIC video transport solution with experiments in Taobao short videos. XLINK is designed to meet two operational challenges at the same time: (1) Optimized user-perceived quality of experience (QoE) in terms of robustness ...
Zhilong Zheng, Yunfei Ma, Yanmei Liu, Furong Yang, Zhenyu Li, Yuanbo Zhang, Jiuhai Zhang, Wei Shi, Wentao Chen, Ding Li, Qing An, Hai Hong, H. Liu, Ming Zhang   +13 more
semanticscholar   +1 more source

Adaptive Bitrate with User-level QoE Preference for Video Streaming

IEEE Conference on Computer Communications, 2022
Recent years have witnessed tremendous growth of video streaming applications. To describe users’ expectations of videos, QoE was proposed, which is critical for content providers. Current video delivery systems optimize QoE with ABR algorithms. However,
Xutong Zuo, Jiayu Yang, Mowei Wang, Yong Cui   +3 more
semanticscholar   +1 more source

QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles

IEEE transactions on intelligent transportation systems (Print), 2021
In the transportation industry, task offloading services of edge-enabled Internet of Vehicles (IoV) are expected to provide vehicles with the better Quality of Experience (QoE). However, the various status of diverse edge servers and vehicles, as well as
Xiaoming He, Haodong Lu, Miao Du, Yingchi Mao, Kun Wang   +4 more
semanticscholar   +1 more source

QoE Analyser

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017
This paper presents a framework for the creation of a knowledge database on QoE. The QoE Analyzer framework enables the simulation of degradations in video playout and also the application of a survey to evaluate the impact of degradations on the user Quality of Experience.
Hugo Schroter Lazzari, Roberto Iraja Tavares da Costa Filho, Valter Roesler   +2 more
openaire   +1 more source

QoE-Aware Efficient Content Distribution Scheme For Satellite-Terrestrial Networks

IEEE Transactions on Mobile Computing, 2021
The satellite-terrestrial networks (STN) utilize the spacious coverage and low transmission latency of the Low Earth Orbit (LEO) constellation to transfer requested content for subscribers especially in remote areas.
Dingde Jiang, Feng Wang, Zhihan Lv, Shahid Mumtaz, Saba Al-Rubaye, A. Tsourdos, O. Dobre   +6 more
semanticscholar   +1 more source

QoE Doctor

Proceedings of the 2014 Conference on Internet Measurement Conference, 2014
Smartphones have become increasingly prevalent and important in our daily lives. To meet users' expectations about the Quality of Experience (QoE) of mobile applications (apps), it is essential to obtain a comprehensive understanding of app QoE and identify the critical factors that affect it. However, effectively and systematically studying the QoE of
Qi Alfred Chen, Haokun Luo, Sanae Rosen, Z. Morley Mao, Karthik Iyer, Jie Hui, Kranthi Sontineni, Kevin Lau   +7 more
openaire   +1 more source

Computation Efficiency Maximization and QoE-Provisioning in UAV-Enabled MEC Communication Systems

IEEE Transactions on Network Science and Engineering, 2021
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the network, it is likely to cause severe propagation loss between the edge server and users.
Zhenzhen Hu, Fanzi Zeng, Zhu Xiao, Bin Fu, Hongbo Jiang, Hongyang Chen   +5 more
semanticscholar   +1 more source

Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things

IEEE Internet of Things Journal, 2020
In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer users with better Quality of Experience (QoE) than traditional IoT.
Haodong Lu, Xiaoming He, Miao Du, Xiukai Ruan, Yanfei Sun, Kun Wang   +5 more
semanticscholar   +1 more source

ConEx based QoE feedback to enhance QoE

Proceedings of the 2012 ACM workshop on Capacity sharing, 2012
Quality of service (QoS) generally represents the performance of packet networks. Quality of experience (QoE) defines the quality perceived by end-users of applications running on these networks. This paper relates these two metrics in a novel way using the newly defined congestion exposure (ConEx) mechanism.
Meral Shirazipour, Gregory Charlot, Geoffrey Lefebvre, Suresh Krishnan, Samuel Pierre   +4 more
openaire   +1 more source