QRST: A QUIC-Enabled Robust Streaming Transmission Framework for Ultra Large-Scale LEO Satellite Networks

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mengyang Zhang;Zitian Zhang;Ting Ma;Xiaoyu Liu;Jinqiang Chen;Sheng Fang;Li Zhang;Haibo Zhou
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Abstract

With the development of low-Earth orbit (LEO) satellites, ultra large-scale LEO satellite networks (ULSLSNs) hold immense potential to provide high-speed and reliable services in future communication systems. It offers substantial promise to meet emerging Internet traffic demands, such as remote real-time applications with stringent delay constraints (deadline). However, the complexity of ULSLSNs is significantly amplified by the satellite mobility, limited bandwidth, and more packet losses. The complex and dynamic network can greatly increase block transmission latency and may further degrade user’s Quality of Experience for real-time applications. To reduce block transmission latency and deliver more blocks before deadline for real-time applications, we propose a quick user datagram protocol Internet connection-enabled robust streaming transmission (QRST) framework deployed in ULSLSNs. This framework comprises four components and mainly involves an adaptive forward erasure coding (FEC) scheme and a deadline-driven block scheduler. The FEC scheme dynamically allocates redundancy based on current network conditions to reduce extra retransmission delay and balance bandwidth overhead. The block scheduler selects blocks for transmission to deliver more blocks before deadline, especially for high-priority blocks. Finally, we implement QRST over the network of Kuiper K3 Shell simulated by NS-3 and living video streaming applications are transmitted. The experiment results show that QRST can significantly enhance the transmission performance of video streaming applications in ULSLSNs compared with other mechanisms.
QRST:一种支持quic的超大规模LEO卫星网络鲁棒流传输框架
随着近地轨道(LEO)卫星的发展,超大规模近地轨道卫星网络(ULSLSNs)在未来通信系统中具有提供高速、可靠服务的巨大潜力。它提供了满足新兴互联网流量需求的实质性承诺,例如具有严格延迟限制(截止日期)的远程实时应用程序。然而,由于卫星的移动性、有限的带宽和更多的丢包,ULSLSNs的复杂性大大增加。复杂、动态的网络会大大增加块传输延迟,并可能进一步降低实时应用的用户体验质量。为了减少块传输延迟并在实时应用截止日期前提供更多块,我们提出了一种部署在ULSLSNs中的快速用户数据报协议-支持互联网连接的鲁棒流传输(QRST)框架。该框架由四个部分组成,主要包括自适应前向擦除编码(FEC)方案和截止日期驱动的块调度程序。FEC方案根据当前网络状况动态分配冗余,以减少额外的重传延迟,平衡带宽开销。块调度程序选择要传输的块,以便在截止日期之前交付更多的块,特别是对于高优先级块。最后,在NS-3模拟的Kuiper K3 Shell网络上实现QRST,并传输实时视频流应用。实验结果表明,与其他机制相比,QRST可以显著提高ULSLSNs中视频流应用的传输性能。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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