VANET-Assisted Interference Mitigation for Millimeter-Wave Automotive Radar Sensors

Zhang, Mengyuan; He, Song; Yang, Chaoqun; Chen, Jiming; Zhang, Junshan

doi:10.1109/mnet.001.1900271

Cited by 18 publications

(8 citation statements)

References 36 publications

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“…VANET-assisted interference mitigation approach was proposed that enables vehicles to coordinate their spectrum usage via multiple access. The proposed scheme was tested via a case study to show that the proposed scheme is useful in dense traffic with high mobility of vehicles ( Zhang et al, 2020 ). MIMO systems are reliable and have high capacity.…”

Section: Related Workmentioning

confidence: 99%

Millimeter-wave channel modeling in a VANETs using coding techniques

Ahmed

Rasheed

Omar

2023

PeerJ Computer Science

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The Vehicular ad-Hoc Network (VANET) is envisioned to ensure wireless transmission with ultra-high reliability. In the presence of fading and mobility of vehicles, error-free information between Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) requires extensive investigation. The current literature lacks in designing an ultra-reliable comprehensive tractable model for VANET using millimeter wave. Ultra-reliable communication is needed to support autonomous vehicular communication. This article aims to provide a comprehensive tractable model for VANET over millimeter waves using Space-Time-Block-Coding (STBC) concatenated with Reed Solomon (RS) coding. The designed model provides the fastest way of designing and analyzing VANET networks on 60 GHz. By using the derived BER expressions and Reed Solomon coded doppler expression ultra-reliable vehicular networks can be build meeting the demands of massive growing volume of traffic. The performance of the model is compared with previous BER computational techniques and existing VANET communication systems, i.e., IEEE 802.11bd and 3rd generation partnership project vehicle to everything (3GPP V2X). The findings show that our proposed approach outperforms IEEE 802.11bd and the results are comparable with V2X NR. Packet Error Rate (PER), Packet Reception Ratio (PRR) and throughput are used as performance metrics. We have also evaluated the model on higher velocities of vehicles. Further, the simulation and numerical findings show that the proposed system surpass the existing BER results comprising of various modulation and coding techniques. The simulation results are verified by the numerical results there-by, showing the accuracy of our derived expressions.

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Section: Related Workmentioning

confidence: 99%

Millimeter-wave channel modeling in a VANETs using coding techniques

Ahmed

Rasheed

Omar

2023

PeerJ Computer Science

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“…In mmWave-based CR-IoV, beamforming is the additional issue along with the security [21,22]. A symmetry-based hybrid precoder and combiner is an efficient signal processing structure for Non-Orthogonal Multiple Access (NOMA) systems at millimeter wavelengths (mmWave) [23].…”

Section: Introductionmentioning

confidence: 99%

Defense against SSDF Attack and PUE Attack in CR-Internet of Vehicles (IoVs) for Millimeter Wave Massive MIMO Beamforming Systems

Pari

Jaisankar

2022

Symmetry

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The Internet of Vehicles (IoV) is witnessed to play the leading role in the future of Intelligent Transportation Systems (ITS). Though many works have focused on IoV improvement, there is still a lack of performance due to insufficient spectrum availability, lower data rates, and the involvement of attackers. This paper considers all three issues by developing a novel mmWave-assisted Cognitive Radio based IoV (CR-IoV) model. The integration of CR in IoV resolves the issue of spectrum management, while mmWave technology ensures symmetry in acquiring higher data rates for Secondary Users (SUs). With the proposed mmWave-assisted CR-IoV model, symmetric improvements in network performance were achieved in three main areas: security, beamforming, and routing. Optimum detection mechanisms isolate malicious Secondary Users (SUs) in the overall network. First, Spectrum Sensing Data Falsification (SSDF) attack is detected by a Hybrid Kernel-based Support Vector Machine (HK-SVM), which is the lightweight Machine Learning (ML) technique. Then, the Primary User Emulation (PUE) attack is detected by a hybrid approach, namely the Fang Algorithm-based Time Difference of Arrival (FA-TDoA) method. Further, security is assured by validating the legitimacy of each SU through a Lightweight ID-based Certificate Validation mechanism. To accomplish this, we employed the Four Q-curve asymmetric cryptographic algorithm. Overall, the proposed dual-step security provisioning approach assures that the network is free from attackers. Next, beamforming is performed for legitimate SUs by a 3D-Beamforming algorithm that relies on Array Factor (AF) and Beampattern Function. Finally, routing is enabled by formulating Forwarding Zone (FZ) based on the forwarding angle. In the forwarding zone, optimal forwarders are selected by the Multi-Objective Whale Optimization (MOWO) algorithm. Here, a new potential score is formulated for fitness evaluation. Finally, the proposed mmWave-assisted CR-IoV model is validated through extensive simulations in the ns-3.26 simulation tool. The evaluation shows better performance in terms of throughput, packet delivery ratio, delay, bit error rate, and detection accuracy.

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“…Interference mitigation techniques in FMCW radar systems can be classified into three main categories; avoidance, detect-and-repair, and more recent communication-based methods [9]. Interference avoidance methods employ techniques like frequency hopping [10], medium access control [11], and chirp randomization [12] to decrease the probability of occurrence of interference or to minimize its effects during post-processing. Communication-based methods [13], [14] are based on the idea that radars operating in the same vicinity can communicate with each other and decide on transmit intervals.…”

Section: Introductionmentioning

confidence: 99%

Interference Compression and Mitigation for Automotive FMCW Radar Systems

2022

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Millimeter-wave (mm-wave) frequency modulated continuous wave (FMCW) radars are increasingly being deployed for scenario perception in various applications. It is expected that the mutual interference between such radars will soon become a significant problem. Therefore, to maintain the reliability of the radar measurements, there must be procedures in place to mitigate this interference. This paper proposes a novel interference mitigation technique that utilizes the pulse compression principle for interference compression and mitigation. The interference in the received time-domain signal is compressed using an estimated matched filter. Afterwards, the compressed interference is discarded, and the signal is repaired in the pulse-compressed domain using an autoregressive (AR) model. Since the interference spans fewer samples after compression, the signal can be restored more accurately in the compressed domain. Real outdoor measurements show that the interference is effectively suppressed down to the noise floor using the proposed scheme. A signal to interference and noise ratio (SINR) gain of approximately 14 dB was achieved in the experimental data supporting this study. Moreover, the results indicate that this method is also applicable to situations where multiple interference sources are present.

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VANET-Assisted Interference Mitigation for Millimeter-Wave Automotive Radar Sensors

Cited by 18 publications

References 36 publications

Millimeter-wave channel modeling in a VANETs using coding techniques

Millimeter-wave channel modeling in a VANETs using coding techniques

Defense against SSDF Attack and PUE Attack in CR-Internet of Vehicles (IoVs) for Millimeter Wave Massive MIMO Beamforming Systems

Interference Compression and Mitigation for Automotive FMCW Radar Systems

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