Abstract | ||
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With the development of communication technology, higher requirements of emerging services in emerging 5G-Advanced wireless network scenarios bring significant challenges to network resilience. It is difficult in conventional transport protocols like TCP and UDP to ensure resilient transmissions in heterogeneous scenarios. As an alternative to the conventional HTTP2/TCP stack, the Quick UDP Internet Connections (QUIC) protocol can realize resilient transmission control since it supports novel features and extensions, such as multi-path transmission and connection migration. In this article, we first analyze the challenges of network resilience in several dominant 5G-Advanced wireless network scenarios with conventional protocols. To tackle these challenges, we propose the first QUIC-enabled resilient transmission control protocol, QUIC-RE5, introducing QUIC to emerging wireless scenarios. QUIC-RE5 contains three customized QUIC-based blocks that enhance the network resilience while satisfying the communication requirements in these scenarios. The experimental results prove that QUIC-RE5 improves the resilience and performance in 5G-Advanced wireless networks, compared to networks using conventional protocols and schemes. |
Year | DOI | Venue |
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2022 | 10.1109/MWC.003.2100610 | IEEE Wireless Communications |
Keywords | DocType | Volume |
resilient QUIC protocol,emerging wireless networks,network resilience,conventional transport protocols,resilient transmissions,heterogeneous scenarios,Quick UDP Internet Connections protocol,connection migration,conventional protocols,QUIC-enabled resilient transmission control protocol,emerging wireless scenarios,customized QUIC-based blocks,HTTP2/TCP stack,multipath transmission,QUIC-RE5,5G-Advanced wireless networks | Journal | 29 |
Issue | ISSN | Citations |
3 | 1536-1284 | 0 |
PageRank | References | Authors |
0.34 | 9 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo He | 1 | 0 | 1.35 |
J. Wang | 2 | 479 | 95.23 |
Qi Qi | 3 | 210 | 56.01 |
Haifeng Sun | 4 | 68 | 27.77 |
Haibo Zhou | 5 | 0 | 0.34 |
Long Zhang | 6 | 0 | 0.34 |
Kaixin Liu | 7 | 0 | 0.34 |
Jianxin Liao | 8 | 457 | 82.08 |