mmV2X: Enabling Millimeter-wave Vehicular-to-Everything Communications

mmV2X:实现毫米波车对万物通信

基本信息

项目摘要

Enabling the future Intelligent Transport System (ITS) with fully- autonomous vehicles requires communication paradigms that guarantee minimum latency, high reliability, and high throughput communication. However, fulfilling these requirements based on the existing technology for vehicular-to-everything (V2X) is often not feasible due to its underlying limitation. Therefore, academia and automotive industry pay attention to the frequency at millimeter-wave (mmWave) bands. Nevertheless, communications at the mmWave band impose fundamental challenges which were not considered in the past generations of cellular networks. In particular, communication at mmWave suffers from high propagation and penetration loss. The use of directional antennas compensates these losses but at the expense of higher complexity in the design of medium access control (MAC), especially for dynamically changing vehicular environments. The focus of this proposal is to model and analyze the underlying problem theoretically using mathematical tools and device tractable and lightweight algorithms which maintain connectivity between communicating devices in dynamic vehicular environments. Specifically, we design algorithms for beam alignment to achieve high spectral reuse gain for heterogeneous V2X communications (i.e., unicast, multicast, and multi-hop). Further, this proposal results in the first mmWave V2X simulator that integrates mmWave MAC and PHY modules in the open source vehicular networks simulation framework, namely Veins. The proposed algorithms will be evaluated using this simulator.
使未来的智能交通系统(ITS)具有完全自动驾驶的车辆,需要确保最小延迟、高可靠性和高吞吐量通信的通信范例。然而,由于其潜在的局限性,基于现有的车辆到一切(V2X)技术来满足这些要求往往是不可行的。因此,毫米波(毫米波)波段的频率受到学术界和汽车行业的关注。然而,毫米波频段的通信带来了过去几代蜂窝网络没有考虑到的根本挑战。特别是,毫米波的通信受到高传播和穿透损耗的影响。定向天线的使用弥补了这些损失,但代价是媒体访问控制(MAC)设计的更高复杂性,特别是对于动态变化的车辆环境。该方案的重点是使用数学工具和设备易于处理的轻量级算法对潜在问题进行理论建模和分析,以保持动态车辆环境中通信设备之间的连通性。具体地说,我们设计了波束对准算法,以实现异质V2X通信(即单播、多播和多跳)的高频谱重用增益。此外,这一建议还导致了第一个将MmWave MAC和PHY模块集成到开源车载网络模拟框架(即LENTES)中的MmWave V2X模拟器。所提出的算法将使用该模拟器进行评估。

项目成果

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Professor Dr.-Ing. Matthias Hollick, since 4/2024其他文献

Professor Dr.-Ing. Matthias Hollick, since 4/2024的其他文献

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{{ truncateString('Professor Dr.-Ing. Matthias Hollick, since 4/2024', 18)}}的其他基金

SenShield: Preserving User Privacy Against Passive WiFi Sensing
SenShield:保护用户隐私免受被动 WiFi 感应的影响
  • 批准号:
    447586980
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
    Research Grants
mmCell: Enabling Next Generation Cellular Networking via mmWave
mmCell:通过毫米波实现下一代蜂窝网络
  • 批准号:
    416765679
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
HyRIS: Hybrid Precoder based Reconfigurable Intelligent Surface Assisted Wireless Networks
HyRIS:基于混合预编码器的可重构智能表面辅助无线网络
  • 批准号:
    455077022
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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