Orientation Based Band Sharing for Radar Interference Mitigation

Roudiere, Sylvain; Martinez, Vincent; Delahaye, Daniel

doi:10.1109/vtc2023-spring57618.2023.10200503

2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) 2023

DOI: 10.1109/vtc2023-spring57618.2023.10200503

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Orientation Based Band Sharing for Radar Interference Mitigation

Sylvain Roudiere,

Vincent Martinez,

Daniel Delahaye

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Cited by 2 publications

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“…in spite new vehicles are being equipped with advanced monostatic radar sensors (e.g., radar sensors at 77 GHz), they do not follow unified standardization rules, providing different proprietary solutions. Since these radars have no resource allocation schemes for accessing the spectrum, but just fulfill spectral mask emission rules, this leads to uncontrolled interference, which can severely affect their sensing capability [10]. Such an issue is causing confusion and unnecessary challenges to be faced by consumers, car makers and administration entities.…”

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confidence: 99%

Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink

Decarli,

Bartoletti,

Bazzi

et al. 2024

IEEE Trans. Veh. Technol.

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Joint communication and sensing allows to share frequency spectrum, hardware, and signal processing blocks between communication and sensing, providing new radar functionalities through the exploitation of communication signals. This is becoming an important trend also in vehicular communications, where future standardized technologies for connected vehicles can be used to detect targets nearby without overloading the already scarce spectrum with dedicated radar signals. Objective of this paper is to characterize the performance of 5G new radio (NR) vehicle-to-everything (V2X) sidelink, in terms of lower bounds for sensing purposes; specifically, we evaluate the impact of physical and radio access communication parameters on the sensing performance in terms of detection capability and parameter estimation quality. As a result, it is shown how the effect of the presence of multiple vehicles in the scenario, and the inherent resource allocation policies, have a non-negligible impact on the communication and sensing performance. In particular, it is shown that when considering the interference of multiple vehicles, the influence on sensing performance of the chosen radio parameters, such as bandwidth, modulation and coding scheme, and packet size is different compared to the inference free case.

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mentioning

confidence: 99%

Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink

Decarli,

Bartoletti,

Bazzi

et al. 2024

IEEE Trans. Veh. Technol.

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Metaheuristic for Optimal Dynamic K-Coloring Application on Band Sharing for Automotive Radars

Roudiere¹,

Martinez²,

Maréchal

et al. 2023

Sensors

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The number of vehicles equipped with radars on the road has been increasing for years and is expected to reach 50% of cars by 2030. This rapid rise in radars will likely increase the risk of harmful interference, especially since radar specifications from standardization bodies (e.g., ETSI) provide requirements in terms of maximum transmit power but do no mandate specific radar waveform parameters nor channel access scheme policies. Techniques for interference mitigation are thus becoming very important to ensure the long-term correct operation of radars and upper-layer ADAS systems that depend on them in this complex environment. In our previous work, we have shown that organizing the radar band into time-frequency resources that do not interfere with each other vastly reduces the amount of interference by facilitating band sharing. In this paper, a metaheuristic is presented to find the optimal resource sharing between radars, knowing their relative positions and thereby the line-of-sight and non-line-of-sight interference risks during a realistic scenario. The metaheuristic aims at optimally minimizing interference while minimizing the number of resource changes that radars have to make. It is a centralized approach where everything about the system is known (e.g., the past and future positions of the vehicles). This and the high computational load induce that this algorithm is not meant to be used in real-time. However, the metaheuristic approach can be extremely useful for finding near optimal solutions in simulations, allowing for the extraction of efficient patterns, or as data generation for machine learning.

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Orientation Based Band Sharing for Radar Interference Mitigation

Cited by 2 publications

References 4 publications

Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink

Performance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink

Metaheuristic for Optimal Dynamic K-Coloring Application on Band Sharing for Automotive Radars

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