V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions

Ko, Seung-Woo; Chae, Hyukjin; Han, Kaifeng; Lee, Seungmin; Seo, Dong-Wook; Huang, Kaibin

doi:10.1109/mwc.001.2000259

Cited by 55 publications

(28 citation statements)

References 11 publications

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“…5G and Beyond 5G systems can provide high-resolution measurements of delays and angles, which make them attractive for localization and sensing applications [1]- [4]. Localization of connected devices is important for autonomous vehicles [5], Vehicle-to-Everything (V2X) [6], [7], and spatial signal design [8]. Sensing of passive objects is important for joint radar and communication [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

Yu¹,

Kaltiokallio²,

Kim³

et al. 2021

Preprint

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Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel.To solve the SLAM problem, existing approaches rely on sigma-point or particle-based approximations, leading to high computational complexity, precluding real-time execution. We propose a novel low-complexity SLAM filter, based on the Poisson multi-Bernoulli mixture (PMBM) filter. It utilizes the extended Kalman (EK) first-order Taylor series based Gaussian approximation of the filtering distribution, and applies the track-oriented marginal multi-Bernoulli/Poisson (TOMB/P) algorithm to approximate the resulting PMBM as a Poisson multi-Bernoulli (PMB). The filter can account for different landmark types in radio SLAM and multiple data association hypotheses. Hence, it has an adjustable complexity/performance trade-off. Simulation results show that the developed SLAM filter can greatly reduce the computational cost, while it keeps the good performance of mapping and user state estimation.

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Section: Introductionmentioning

confidence: 99%

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

Yu¹,

Kaltiokallio²,

Kim³

et al. 2021

Preprint

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“…In traditional wireless systems, the radio environment is usually assumed uncontrollable and often cannot be customised based on the propagation conditions. In the context of IoV, the most harmful wireless channel is undoubtedly the fastfading (i.e., rapid fluctuations of the received signal's phase and amplitude over time ), caused by the Doppler spread effect, which arises in response to the vehicle's high mobility [80]. As a result, the achievable data rate of V2X communications can be severely deteriorated, so that this is a primordial concern for IoV communications.…”

Section: F Intelligent Reflecting Surfacesmentioning

confidence: 99%

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio

Ahmad

Gurtov

et al. 2022

IEEE Open J. Commun. Soc.

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The conceptualisation of the sixth generation of mobile wireless networks (6G) has already started with some potential disruptive technologies resonating as enablers for driving the emergence of a number of innovative applications. Particularly, 6G will be a prominent supporter for the evolution towards a truly Intelligent Transportation System and the realisation of the Smart City concept by fulfilling the limitations of 5G, once vehicular networks are becoming highly dynamic and complex with stringent requirements on ultra-low latency, high reliability, and massive connections. More importantly, providing security and privacy to such critical systems should be a top priority as vulnerabilities can be catastrophic, thus there are huge concerns regarding data collected from sensors, people and their habits. In this paper, we provide a timely deliberation of the role that promissory 6G enabling technologies such as artificial intelligence, network softwarisation, network slicing, blockchain, edge computing, intelligent reflecting surfaces, backscatter communications, terahertz links, visible light communications, physical layer authentication, and cell-free massive multiple-input multiple-output (MIMO) will play on providing the expected level of security and privacy for the Internet of Vehicles.

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“…This section explains a key principle of CDA and highlights its advantages by integrating the above two standalone approaches. smartphone) captures various measurements, such as ToA, TDoA, AoD, and AoA, by hearing the anchors' waveform transmissions [4]. Given the anchors' locations and measurements, we target the user's precise location, the central theme throughout the article.…”

Section: Combinatorial Data Augmentationmentioning

confidence: 99%

Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation

Yu¹,

Park²,

Kim³

et al. 2021

Preprint

Self Cite

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Precise positioning has become one core topic in wireless communications by facilitating candidate techniques of B5G. Nevertheless, most existing positioning algorithms, categorized into geometric-driven and data-driven approaches, fail to simultaneously fulfill diversified requirements for practical use, e.g., accuracy, real-time operation, scalability, maintenance, etc. This article aims at introducing a new principle, called combinatorial data augmentation (CDA), a catalyst for the two approaches' tight integration. We first explain the concept of CDA and its critical advantages over the two standalone approaches. Then, we confirm the CDA's effectiveness from field experiments based on WiFi round-trip time and inertial measurement units. Lastly, we present its potential beyond positioning, expected to play a critical role in B5G.

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V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions

Cited by 55 publications

References 11 publications

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Integrating Geometry-Driven and Data-Driven Positioning via Combinatorial Data Augmentation

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