Fair Coexistence of LTE and WiFi-802.11 in Unlicensed Spectrum

Mustafa, Sumaira; Alam, Khubaib Amjad; Khan, Bilal; Ullah, Muhammad Habib; Touseef, Pariwish

doi:10.1145/3341325.3342031

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…Internet video systems are designed to cope with the inherent variability in network conditions. Media players at the client implement ABR algorithms [9,28,29]. There are a variety of protocols like MPEG-DASH [30], Apple HLS [31], Microsoft Smooth Streaming [32], Adobe HDS [33] etc.…”

Section: A Why Video On Wireless Is Different?mentioning

confidence: 99%

“…These new changes will lead to even more congestion in the available spectrum specially in the unlicensed domain. There have been many recent studies to understand and optimize wireless spectrum sharing between different technologies like LTE or 5G based cellular networks and WiFi in unlicensed bands [9,28,29,119]. Some of them used a machine learning-based approach to optimize spectrum sharing [10].…”

Section: Optimize the Spectral Efficiency For Video Trafficmentioning

confidence: 99%

“…Recently, Pensieve, a neural adaptive video streaming platform developed by MIT [5], it uses deep reinforcement learning (DRL) [7,8], and outperforms existing ABRs. One of the major challenges will occur in the near future with 5G wide deployment when many devices share the unlicensed spectrum, such as [9][10][11] .Video stream applications can be optimized for these resource critical scenarios with the introduction of edge device based feedback to the Reinforcement Learning (RL) based ABR running on the server. These edge devices will collect data by spectrum sensing and then allocate the spectrum for the next time slot.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Bitrate Video Streaming for Wireless nodes: A Survey

Nishat,

Gnawali,

Abdelhadi

2020

Preprint

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In today's Internet, video is the most dominant application and in addition to this, wireless networks such as WiFi, Cellular, and Bluetooth have become ubiquitous. Hence, most of the Internet traffic is video over wireless nodes. There is a plethora of research to improve video streaming to achieve high Quality of Experience (QoE) over the Internet. Many of them focus on wireless nodes. Recent measurement studies often show QoE of video suffers in many wireless clients over the Internet. Recently, many research papers have presented models and schemes to optimize the Adaptive BitRate (ABR) based video streaming for wireless and mobile users. In this survey, we present a comprehensive overview of recent work in the area of Internet video specially designed for wireless network. Recent research has suggested that there are some new challenges added by the connectivity of clients through wireless. Also these challenges become more difficult to handle when these nodes are mobile. This survey also discusses new potential areas of future research due to the increasing scarcity of wireless spectrum.

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