CQUIC: Cross-Layer QUIC for Next Generation Mobile Networks

Gaurav Sinha, M. Kanagarathinam, Sujith Rengan Jayaseelan, G. Choudhary
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引用次数: 9

Abstract

Requirements for Next Generation Mobile Networks (NGMN) include low latency, higher throughput, scalability, and energy efficiency. As 5G millimeter wave (mmWave) band is short-range, the handover is inevitable. Google proposed QUIC (Quick UDP Internet Connection), which aims to address these challenges. However, Google QUIC (GQUIC), follows “WiFi-First” policy causing frequent network switching, which can lead to a throughput reduction and fast battery degradation. In this paper, we propose Cross-layer QUIC (CQUIC) framework, that follows “WiFi-if-best” policy to enhance the throughput and resilience by using a Cross-Layer approach. CQUIC proposes a novel migration scheme in QUIC which adapts to the dynamic network characteristics. GQUIC protocol with low bandwidth and high round-trip-time fail to migrate for seamless User Experience. CQUIC algorithm predicts Cross-Layer Score (CLS) which incorporates predicted Signal-to-Interference Noise Ratio (SINR), QUIC Bandwidth, round-triptime (RTT) stats from QUIC Session and models the handover decision pro-actively. Compared with state-of-the-art methods such as GQUIC and HTTP (using TCP) this paper reveals the significant benefits of the proposed method. A series of experimental results obtained in live air network over Samsung Galaxy S10 devices show CQUIC outperforms the GQUIC by 20%, TCP by 36% and MPTCP (Backup) by 17% in terms of throughput. Furthermore, CQUIC compared with MPTCP, reduces the data consumption over mobile network and operates green by reducing the power consumption by 25%.
下一代移动网络的跨层QUIC
下一代移动网络(NGMN)要求低延迟、高吞吐量、可扩展性和能效。由于5G毫米波(mmWave)频段距离较短,因此切换是不可避免的。谷歌提出了QUIC(快速UDP互联网连接),旨在解决这些挑战。然而,Google QUIC (GQUIC)遵循“wifi优先”策略,导致频繁的网络切换,这可能导致吞吐量降低和电池快速退化。在本文中,我们提出了跨层QUIC (CQUIC)框架,该框架遵循“WiFi-if-best”策略,通过使用跨层方法来提高吞吐量和弹性。CQUIC在QUIC中提出了一种新的适应网络动态特性的迁移方案。低带宽、高往返时间的GQUIC协议无法实现无缝的用户体验。CQUIC算法预测跨层分数(CLS),该分数结合了QUIC会话预测的信噪比(SINR)、QUIC带宽、往返时间(RTT)统计,并主动建模切换决策。与GQUIC和HTTP(使用TCP)等最先进的方法相比,本文揭示了该方法的显着优点。在三星Galaxy S10设备的实时空中网络中获得的一系列实验结果表明,CQUIC在吞吐量方面比GQUIC高20%,TCP高36%,MPTCP (Backup)高17%。此外,与MPTCP相比,CQUIC减少了移动网络上的数据消耗,并且通过将功耗降低25%来实现绿色运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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