Artificial Noise Physical Layer Security for V2X Joint Radar Communication Systems-Based OTFS Waveform

Joint radar communication (JRC) effectively integrates radar capabilities and data transmission that are used in vehicle-to-everything (V2X) applications.Within the JRC, the transmission suffers from a highly dispersive, time-varying channel due to the mobility environment, while the transmission requires a secure method with low latency and time complexity. The confidential information signal must be resilient to radar user eavesdropping while enabling the radar user to get the correct channel radar estimation image. The main contribution of this paper is to provide security for the JRC system used in V2X application networks by employing Artificial Noise (AN) Physical Layer Security (PLS) with low time complexity constraints, which integrates with the Orthogonal Time Frequency Space (OTFS) waveform that offers robustness against time-varying channel degradation considering the 3GPP TS 36 Extended Vehicular A channel model (EVA). Moreover, the practical implementation considers imperfect channel state information and involves a powerful eavesdropper who can estimate legitimate user channels with a certain amount of error. The secrecy capacity, average bit-error rate (BER), time complexity, and execution time results present the performance of the proposed AN scheme and its ability to protect legitimate users’ information in a promising manner while providing the radar user with sufficient quality of service (QoS), where the proposed approach provides a secrecy capacity level up to 7 nats/symbol with an execution time that is 42 times faster than the Advanced Encryption Standard (AES) and 6.4 thousand times better than Rivest-Shamir-Adleman (RSA) cryptographic algorithms.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3571491
Citations
2
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
9.99
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article

Artificial Noise Physical Layer Security for V2X Joint Radar Communication Systems-Based OTFS Waveform

Abdelrahman Abushattal, Ayhan Yazgan
2 citations
IEEE Access
Radar Systems and Signal Processing
9.99
article

Artificial Noise Physical Layer Security for V2X Joint Radar Communication Systems-Based OTFS Waveform

Abdelrahman Abushattal, Ayhan Yazgan
article en
2 citations

Abstract

Joint radar communication (JRC) effectively integrates radar capabilities and data transmission that are used in vehicle-to-everything (V2X) applications.Within the JRC, the transmission suffers from a highly dispersive, time-varying channel due to the mobility environment, while the transmission requires a secure method with low latency and time complexity. The confidential information signal must be resilient to radar user eavesdropping while enabling the radar user to get the correct channel radar estimation image. The main contribution of this paper is to provide security for the JRC system used in V2X application networks by employing Artificial Noise (AN) Physical Layer Security (PLS) with low time complexity constraints, which integrates with the Orthogonal Time Frequency Space (OTFS) waveform that offers robustness against time-varying channel degradation considering the 3GPP TS 36 Extended Vehicular A channel model (EVA). Moreover, the practical implementation considers imperfect channel state information and involves a powerful eavesdropper who can estimate legitimate user channels with a certain amount of error. The secrecy capacity, average bit-error rate (BER), time complexity, and execution time results present the performance of the proposed AN scheme and its ability to protect legitimate users’ information in a promising manner while providing the radar user with sufficient quality of service (QoS), where the proposed approach provides a secrecy capacity level up to 7 nats/symbol with an execution time that is 42 times faster than the Advanced Encryption Standard (AES) and 6.4 thousand times better than Rivest-Shamir-Adleman (RSA) cryptographic algorithms.

IEEE AccessVol. 13
Karadeniz Technical University (TR)
Affordable and clean energy
Openalex Percentile: Top 3%
Radar Systems and Signal Processing
9.99
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Artificial Noise Physical Layer Security for V2X Joint Radar Communication Systems-Based OTFS Waveform — Abdelrahman Abushattal, Ayhan Yazgan · IEEE Access (2025) | TGRS Research Map | TGRS