Towards Resilient V2X Communications over 5G/6G Networks

Enabling mission critical communication for vehicular networks can be achieved by exploiting 5G and 6G wireless systems. However, given that such systems are primarily designed with high rate services in mind (e.g., multimedia), ensuring continuous availability of the communication link for V2X communication is a major challenge. The goal of the first year of this project is to explore the use of resilience as a metric for guaranteeing the operation of V2X links under different dynamics of the environment. This will create a seed for the next year of this project that can exploit the developed fundamentals to investigate other avenues like integrated sensing and communications. (1) Resilient Communications Fundamentals: 5G and 6G networks may rely on high-frequency bands to provide high-speed wireless access for V2X. High-frequency bands can potentially be intermittent due to factors such as blockage and fading. This susceptibility to signal blockage and low signal-to-interference ratio is also a challenge at low frequency bands. While 3GPP has advocated for providing ultra-reliable wireless communications for 5G mission-critical systems, this design, centered on reliability – which requires continuous availability of a communication link – has proven to be difficult to achieve in the real world due to the challenges of the wireless channel. In contrast, it may be more apropos to design resilient communication links that can quickly recover from failures (unintentional or intentional). This includes failures due to cybersecurity breaches. Despite significant research in this space in fields such as cyber-physical systems, to date, the very definition of resilience in cellular networks, in general, and V2X networks, in particular remains ambiguous. In this research task, the research team will explore for the first time the fundamentals of resilience for wireless networks, in general, and connected autonomy systems (V2X or drones), in particular. The research team will develop new metrics for resilience and analyze the performance achievable by a wireless systems in terms of those new metrics, while contrasting them to classical standardization metrics like reliability. (2) Optimization of resilience in V2X systems: Once metrics are defined, the next step is to optimize the overall operation of the system to enhance resilience under various intentional and non-intentional failures, including cybersecurity threats like jamming. In particular, the goal here will be to study how to design the cross-layer communication mechanisms, from beamforming to network resource management in a way to meet the resilience needs of V2X systems, as quantified in the first task. This task will potentially explore machine learning (ML) techniques to deal with complex optimization problems, and to ensure adaptation of the system to large-scale dynamics.

• Record URL:
  https://www.iitcarnations.org/research

Language

• English

Project

• Status: Active
• Funding: $Federal $239,782, Cost-share $121,593
• Contract Numbers:

  Illinois Institute of Technology/69A3552348324

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Project Managers:

  Narang, Aashish

• Performing Organizations:

  Center for Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Principal Investigators:

  Saad, Walid

  Ayyash, Moussa

• Start Date: 20231001
• Expected Completion Date: 20240930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Computer security; Continuity of operations; Machine learning; Mobile communication systems; Navigation; Optimization; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01906660
• Record Type: Research project
• Source Agency: Center for Assured and Resilient Navigation in Advanced Transportation Systems
• Contract Numbers: Illinois Institute of Technology/69A3552348324
• Files: UTC, RIP
• Created Date: Jan 31 2024 3:11PM