On the Latency of Multipath-QUIC in Real-time Applications

Vu, Vu Anh; Walker, Brenton

doi:10.1109/wimob50308.2020.9253402

Cited by 11 publications

(2 citation statements)

References 15 publications

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“…A DASH Web server using QUIC is implemented through Caddy [23]. After that, we got help from MAppLE [24] to create the overall framework. The MPQUIC version used by MAppLE and our project is different, so some modifications are required.…”

Section: Evaluation Setupmentioning

confidence: 99%

Reinforcement Learning Based Multipath QUIC Scheduler for Multimedia Streaming

Lee

Yoo

2022

Sensors

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With the recent advances in computing devices such as smartphones and laptops, most devices are equipped with multiple network interfaces such as cellular, Wi-Fi, and Ethernet. Multipath TCP (MPTCP) has been the de facto standard for utilizing multipaths, and Multipath QUIC (MPQUIC), which is an extension of the Quick UDP Internet Connections (QUIC) protocol, has become a promising replacement due to its various advantages. The multipath scheduler, which determines the path to which each packet should be transmitted, is a key function that affects the multipath transport performance. For example, the default minRTT scheduler typically achieves good throughput, while the redundant scheduler gains low latency. While the legacy schedulers may generally give a desirable performance in some environments, however, each application renders different requirements. For example, Web applications target low latency, while video streaming applications require low jitter and high video quality. In this paper, we propose a novel MPQUIC scheduler based on deep reinforcement learning using the Deep Q-Network (DQN) that enhances the quality of multimedia streaming. Our proposal first takes into account both delay and throughput as a reward for reinforcement learning to achieve a low video chunk download time. Second, we propose a chunk manager that informs the scheduler of the video chunk information, and we also tune the learning parameters to explore new random actions adequately. Finally, we implement our new scheduler on the Linux kernel and give results using the Mininet experiments. The evaluation results show that our proposal outperforms legacy schedulers by at least 20%.

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Section: Evaluation Setupmentioning

confidence: 99%

Reinforcement Learning Based Multipath QUIC Scheduler for Multimedia Streaming

Lee

Yoo

2022

Sensors

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“…Evaluation shows that PStream can reduce up to 25.4% of page load time in high path heterogeneity, compared to minRTT. Focusing on video QoE [106] NineTails is a multipath MPQUIC scheduler that utilizes selective multipath redundancy to control tail loss and neartail loss latencies in heterogeneous wireless networks. With this design thought, NineTails is shown to decrease the tail application latency up to 18%.…”

Section: B Multipath Schedulingmentioning

confidence: 99%

A Survey on Multipath Transport Protocols Towards 5G Access Traffic Steering, Switching and Splitting

Wu¹,

Ferlin

Caso

et al. 2021

IEEE Access

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The fifth generation (5G) cellular network aims at providing very high data rates, ultra reliable low latency communications, and a vast increase of connection density. As one of the design trends towards these objectives, 5G exploits multi-connectivity, i.e., the concurrent use of multiple access networks. The Access Traffic Steering, Switching, and Splitting (ATSSS) architecture has recently been proposed to enable 5G multi-connectivity, and multipath transport protocols have emerged as a key ATSSS technology enabler. Within this context, this survey presents a detailed review of multipath transport protocols, identifies their existing and potential exploitation in ATSSS, and suggests their applicability for enhanced Mobile Broadband (eMBB) and Ultra Reliable Low Latency Communications (URLLC) services. To this end, we first review 5G background and current standardization activities around multiconnectivity and the ATSSS architecture. We then provide an in-depth review of multipath transport protocols, covering four core functionalities, i.e., path management, scheduling, congestion control, and reliable transfer. Based on the reviewed literature, we further discuss the integration of multipath transport into ATSSS to achieve eMBB and URLLC service requirements. Finally, we also point out major open research issues and discuss possible future directions.INDEX TERMS Multipath transport protocols, ATSSS (Access Traffic Steering, Switching and Splitting), eMBB (enhanced Mobile Broadband), URLLC (Ultra Reliable Low Latency Communication).

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Smart cross‐layer approach to multi‐access terrestrial and non‐terrestrial networks (NTNs): Real‐time mobile‐health use case

Elhachi,

Boumehrez,

Aymen Labiod

et al. 2024

Int J Communication

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SummaryDelivering health care services in isolated rural regions through vehicular communications has recently attracted more attention. Real‐time video streaming is one of the most commonly used applications in such services. Escorting this increasing interest, there is a high demand for high‐quality streaming video in vehicular environments. However, these services face challenging network characteristics such as high dynamic topology and mobility, leading to high packet loss and degraded visual quality. This paper presents a smart approach to multi‐access terrestrial and non‐terrestrial networks (NTNs) for high‐quality and real‐time video streaming in vehicular environments to enhance healthcare services in remote areas. The proposed approach integrates a mobile telemedicine unit connected to an expert site through different channels, including satellite communication, 5 Generation (5G), and long‐term evolution (LTE) networks. A modified multipath QUIC extension (MPQUIC) was introduced to stream data hybridly through the network. Furthermore, multiple description coding (MDC) was applied to split data into two different descriptions and prioritize one over the other. Important data would be transmitted through cellular networks, and non‐priority data would be transmitted through satellite links, enhancing the reliability of video transmission. We demonstrate the effectiveness of our approach through the use of a connected ambulance as a case study. The Mininet‐Wifi was used to emulate network conditions. The peak signal‐to‐noise ratio (PSNR), structural SIMilarity (SSIM), and video multimethod assessment fusion (VMAF) were measured to evaluate the received video quality; the received data rate and packet loss were also calculated. The obtained results show our proposed method's efficiency by reducing latency by up to 60% and improving the receiving data rate by up to 143% compared with the classical MPQUIC. The proposed system enhances video quality by up to 70%. It minimizes packet loss by up to 50% compared with the unreliable QUIC, showcasing the potential to improve m‐health services' efficiency and mobility in isolated rural regions.

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On the Latency of Multipath-QUIC in Real-time Applications

Cited by 11 publications

References 15 publications

Reinforcement Learning Based Multipath QUIC Scheduler for Multimedia Streaming

Reinforcement Learning Based Multipath QUIC Scheduler for Multimedia Streaming

A Survey on Multipath Transport Protocols Towards 5G Access Traffic Steering, Switching and Splitting

Smart cross‐layer approach to multi‐access terrestrial and non‐terrestrial networks (NTNs): Real‐time mobile‐health use case

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