年次大会
Online ISSN : 2424-2667
ISSN-L : 2424-2667
セッションID: F183-4
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自動運転時代に向けたSRv6 Mobile User Planeを用いる低遅延5Gモバイルネットワーク技術
*三上 学
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Autonomous driving technologies is essential to realizing sustainable logistics and regional transportation services, and require to reduce further communication latency in mobile networks that supports the technologies. In order to contribute to the realization of sustainable logistics and regional transportation services, we working on technology research and developments of ultra-reliable and low latency vehicular communications towards application to automated follower platooning for truck or bus rapid transit (BRT) vehicles. Unfortunately, the current cellular mobile networks suffer from a major problem, mainly in rural areas, where the transmission latency at the wired backhaul side between the base stations (BSs) and the mobile core nodes (CNs) is larger than the transmission latency at the wireless access side. On the other hand, to solve such problem in the cellular mobile networks, SRv6 Mobile User Plane (MUP) has emerged, which integrates 3GPP based mobile network with Segment Routing over Internet Protocol version 6 (SRv6). SRv6 MUP has the functionality to advertise the Internet Protocol (IP) routing information to the wired transport network among BSs and CNs in consideration to user terminal (UE) mobility, that enables not only low-latency edge computing and but also low-latency UE-to-UE communications via BSs with the shortest packet route, efficiently. This report fast overviews the SRv6 MUP technology. Then, this report also introduces a new concept of V2N/V2N2V communication latency reduction technology using SRv6 MUP, regarding evolved mobile network technology towards autonomous driving era. Finally, it presents field evaluation tests of low latency in-vehicle UE-to-UE communication using SRv6 MUP under a commercial 5G Standalone network assuming application to low-latency V2N2V, and the results demonstrate the effectiveness of SRv6 MUP in practical network environments.

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