Demystifying millimeter-wave V2X: towards robust and efficient directional connectivity under high mobility
Song Wang, Jingqi Huang, Xinyu Zhang
Abstract
Millimeter-wave (mmWave) networking represents a core technology to meet the demanding bandwidth requirements of emerging connected vehicles. However, the feasibility of mmWave vehicle-to-everything (V2X) connectivity has long been questioned. One major doubt lies in how the highly directional mmWave links can sustain under high mobility. In this paper, we present the first comprehensive reality check of mmWave V2X networks. We deploy an experimental testbed to mimic a typical mmWave V2X scenario, and customize a COTS mmWave radio to enable microscopic investigation of the channel and the link. We further construct a high-fidelity 3D ray-tracer to reproduce the mmWave characteristics at scale. With this toolset, we study the mmWave V2X coverage, mobility and blockage, codebook/beam management, and spatial multiplexing. Our measurement debunks some common misperceptions of mmWave V2X networks. In particular, due to the constrained roadway network structures, we find the beam management can be handled easily by the often-denounced beam scanning schemes, as long as the codebook is properly designed. Blockage can be almost eliminated through proper basestation deployment and cooperation. Highly effective spatial multiplexing can be realized even without sophisticated MIMO radios. Our work points to possible ways to realize efficient and reliable mmWave networks under high mobility, while maintaining the simplicity of standard network protocols.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext c394280c-9a74-4b0c-bc38-be4d344a4c1dCited by top-tier papers4
- VIPS: real-time perception fusion for infrastructure-assisted autonomous drivingShuyao Shi, Jiahe Cui, Zhehao Jiang, Zhenyu Yan et al.MobiCom 2022 · 126 citations
- Two beams are better than one: towards reliable and high throughput mmWave linksIsh Kumar Jain, Raghav Subbaraman, Dinesh BharadiaSIGCOMM 2021 · 49 citations
- Habitus: Boosting Mobile Immersive Content Delivery through Full-body Pose Tracking and Multipath NetworkingAnlan Zhang, Chendong Wang, Yuming Hu, Ahmad Hassan et al.NSDI 2024 · 14 citations
- mmSV: mmWave Vehicular Networking using Street View Imagery in Urban EnvironmentsAhmad Kamari, Yoon Chae, Parth PathakMobiCom 2023 · 9 citations
Builds on3
- CarMap: Fast 3D Feature Map Updates for AutomobilesFawad Ahmad, Hang Qiu, Ray Eells, Fan Bai et al.NSDI 2020 · 87 citations
- M-Cube: a millimeter-wave massive MIMO software radioRenjie Zhao, Timothy Woodford, Teng Wei, Kun Qian et al.MobiCom 2020 · 80 citations
- X-Array: approximating omnidirectional millimeter-wave coverage using an array of phased arraysSong Wang, Jingqi Huang, Xinyu Zhang, Hyoil Kim et al.MobiCom 2020 · 30 citations
Related papers
- Realizing Uplink MU-MIMO Communication in mmWave WLANs: Bayesian Optimization and Asynchronous TransmissionShichen Zhang, Bo Ji, Kai Zeng, Huacheng ZengINFOCOM 2023 · 3 citations
- Vehicle-to-Nothing? Securing C-V2X Against Protocol-Aware DoS AttacksGeoff Twardokus, Hanif RahbariINFOCOM 2022 · 28 citations
- Enabling On-Demand Low-Power mmWave Repeaters via Passive BeamformingTianxiang Li, Mohammad Hossein Mazaheri, Omid AbariMobiCom 2024 · 3 citations
- Sync Under Siege: Spoofing Attack and Detection in 5G NR-V2X SynchronizationMd Imran Hossain, Jiang XieINFOCOM 2026
- A Comparative Measurement Study of Commercial 5G mmWave DeploymentsArvind Narayanan, Muhammad Iqbal Rochman, Ahmad Hassan, Bariq S. Firmansyah et al.INFOCOM 2022 · 95 citations
