Multi-RIS-Assisted Secure Communications in mmWave Vehicular Network
With the surge in wireless data traffic, integrating millimeter-wave (mmWave) technology into vehicular networks enables high-speed communication. Meanwhile, the rising demand for secure wireless communication drives the use of reconfigurable intelligent surfaces (RIS) to enhance physical layer security (PLS) through intelligent channel control. This paper investigates PLS approaches in multi-RIS-assisted mmWave vehicular communication under stochastic geometry architecture. Taking the dynamically changing and random nature of vehicular network topologies into account, we propose a vehicular network association scheme for a typical vehicle. In this scheme when the quality of the direct link deteriorates due to obstacles or other factors, RIS-assisted communication ensures a more stable connection. By leveraging stochastic geometry theory, a tractable analytical framework is established to evaluate the secrecy performance of the downlink transmission comprehensively. Specifically, the closed-form expressions of connection outage probability (COP) and secrecy outage probability (SOP) are derived. Simulation results demonstrate that introducing RIS into vehicular networks and utilizing the proposed association scheme can significantly improve the security of vehicular networks.
Authors
- Lei Huang (ORCID: https://orcid.org/0000-0002-5337-9101)
- Mian Ahmad Jan (ORCID: https://orcid.org/0000-0002-5298-1328)
- Kok‐Lim Alvin Yau (ORCID: https://orcid.org/0000-0003-3110-2782)
- Shahid Mumtaz (ORCID: https://orcid.org/0000-0001-6364-6149)
- Peng Sun (ORCID: https://orcid.org/0000-0002-7738-9718)
- Ying Ju (ORCID: https://orcid.org/0000-0002-3807-9354)
- Lei Liu (ORCID: https://orcid.org/0000-0001-8173-0408)
- Yiting Yan (ORCID: https://orcid.org/0009-0005-2620-0662)
Institutions
- Xidian University (CN)
- University of Sharjah (AE)
- Nottingham Trent University (GB)
- Universiti Tunku Abdul Rahman (MY)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174593
- Primary Topic
- Wireless Body Area Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00