Project Details
mmV2X: Enabling Millimeter-wave Vehicular-to-Everything Communications
Applicant
Professor Dr.-Ing. Matthias Hollick, since 4/2024
Subject Area
Security and Dependability, Operating-, Communication- and Distributed Systems
Theoretical Computer Science
Theoretical Computer Science
Term
since 2020
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 453080125
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.
DFG Programme
Research Grants
Ehemalige Antragstellerin
Gek Hong Allyson Sim, Ph.D., until 3/2024