Results 91 to 100 of about 55,472 (218)
GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing
, 2019 Network slicing is a key technology in 5G communications system. Its purpose is to dynamically and efficiently allocate resources for diversified services with distinct requirements over a common underlying physical infrastructure.
Chen, Xianfu +4 more
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Survey on Advancing QoE in the 5G/6G Era: Challenges, Standards, and Emerging Directions
IEEE AccessQuality of Experience (QoE) has emerged as a crucial user-centric metric in the design and evaluation of next-generation wireless networks. As the transition from 5G to 6G accelerates, the increasing diversity of services, device heterogeneity, and ...
Nabil Torjemen, Nabil Tabbane
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Quality of Experience Under Huge Load for WebRTC Applications: A Case Study of Three Media Servers
IEEE AccessVideoconference applications are becoming increasingly popular, and the demand for these applications is growing. The availability of a standard for building videoconference application on the web, the W3C WebRTC standard, boosted the development of such
Ivan Chicano-Capelo +2 more
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Self-Organization of Multi-UAVs for Improving QoE in Unequal User Distribution [PDF]
, 2022 Young Jin Jeon +3 more
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QoE-Oriented Routing Mixing Application KPIs and Link Metrics Through Machine Learning
IEEE AccessAs the complexity of network end devices and applications grows, network managers face increasing difficulty in meeting specific end user requirements, leading to reduced user experience and inefficient resource management.
Lei Wang, Xiping Wu, Declan T. Delaney
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EAI Endorsed Transactions on Mobile Communications and Applications, 2018 Quality of Experience (QoE) drives churn in the broadband networks industry, and good QoE plays a large part in the retention of customers. QoE is known to be affected by the Quality of Service (QoS) factors packet loss probability (PLP), delay and delay
Mujtaba Roshan +2 more
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Layer-Assisted Video Quality Adaptation for Improving QoE in Wireless Networks
IEEE Access, 2020 HTTP adaptive streaming (HAS) is a state-of-the-art technology for video streaming. Optimal adaptive streaming schemes should be designed to maximize the quality of experience (QoE) in network environments with unstable bandwidths such as wireless ...
Jinho Park, Kwangsue Chung
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Flow Level QoE of Video Streaming in Wireless Networks
, 2014 The Quality of Experience (QoE) of streaming service is often degraded by frequent playback interruptions. To mitigate the interruptions, the media player prefetches streaming contents before starting playback, at a cost of delay.
Altman, Eitan +4 more
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Deep Reinforcement Learning for Resource Management in Network Slicing
, 2018 Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-performing and cost-efficient services, network slicing involves challenging ...
Chen, Xianfu +7 more
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QoE-Oriented Rate Adaptation for DASH With Enhanced Deep Q-Learning
IEEE Access, 2019 With the popularity of handheld devices, the development of wireless communication technology and the proliferation of multimedia resources, mobile video has become the main business in LTE networks with explosive traffic demands.
Jie Liu, Xiaoming Tao, Jianhua Lu
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