The Monthly Newsletter of IEEE Vehicular Technology Society—September 2024

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Mobile Radio
World’s First AI 5G Fixed Wireless Access
Claudio Casetti

As another showcase at MWC Barcelona 2024, ZTE launched the world’s first AI 5G fixed wireless access (FWA), aiming to offer a better life for all by rebuilding users’ experiences through AI.

ZTE’s personal and home data terminals are experiencing steady growth. According to the latest report from TSR, an international professional consulting agency, ZTE FWA and mobile broadband (MBB) products secured the number 1 market share worldwide in 2023, a position held by ZTE for three consecutive years, with the shipment of its 5G FWA and MBB exceeding 4 million units.

ZTE has partnered with more than 120 5G FWA carriers, accounting for approximately 80% of the total worldwide. To adapt to the evolving landscape of FWA development, the company continues to actively explore and adopt new AI technologies, aiming to play a leading role in future advancements.

The newly launched 5G FWA flagship product, ZTE G5 Ultra, can provide users with a faster and smoother network experience with a 20% increase in bandwidth utilization and a 30% decrease in network congestion. It achieves network strategy control and bandwidth optimization in different scenarios through the application of multidimensional AI network algorithms based on the underlying device behavior and network application analysis.

Full Article: IEEE Vehicular Technology Magazine, Volume 19, Number 2, June 2024

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In This Issue
Message from the EiC
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Upcoming Events
VTC2024-Fall: The Centennial
VPPC 2024 Celebrates 20TH Anniversary
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Open Calls
Call for Authors: VTS IEEE Press
Seeking OJVT Editors: Motor Vehicles, Land Transportation
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Mobile Radio
World’s First AI 5G Fixed Wireless Access
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Transportation Systems
Hitachi Rail’s Digital Interlocking Signaling System
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Connected and Automated Vehicles
Chinese Around-the-Clock Operation of Robotaxis
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From the VT Section of IEEE Access®
Recent Articles in VT
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From the IEEE Transactions on Vehicular Technology
Quality-Aware Task Offloading for Cooperative Perception in Vehicular Edge Computing
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Editor-in-Chief

F. Richard Yu

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