Vehicular Connectivity on Complex Trajectories : Roadway-Geometry Aware ISAC Beam-Tracking

Xiao MENG; Fan LIU; Christos MASOUROS; Weijie YUAN; Qixun ZHANG; Zhiyong FENG

doi:10.1109/TWC.2023.3250442

Vehicular Connectivity on Complex Trajectories : Roadway-Geometry Aware ISAC Beam-Tracking

Xiao MENG, Fan LIU^*, Christos MASOUROS, Weijie YUAN, Qixun ZHANG, Zhiyong FENG

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

11 Citations (Scopus)

Abstract

In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries. To improve the tracking accuracy and communication quality of service (QoS) in vehicle to infrastructure (V2I) networks, it is essential to model the complicated roadway geometry. To that end, we impose the curvilinear coordinate system (CCS) in an interacting multiple model extended Kalman filter (IMM-EKF) framework. By doing so, both the position and the motion of the vehicle on a complicated road can be explicitly modeled and precisely tracked attributing to the benefits from the CCS. Furthermore, an optimization problem is formulated to maximize the array gain by dynamically adjusting the array size and thereby controlling the beamwidth, which takes the performance loss caused by beam misalignment into account. Numerical simulations demonstrate that the roadway geometry-aware ISAC beamforming approach outperforms the communication-only-based and ISAC kinematic-only-based technique in tracking performance. Moreover, the effectiveness of the dynamic beamwidth design is also verified by our numerical results.

Original language	English
Pages (from-to)	7408-7423
Number of pages	16
Journal	IEEE Transactions on Wireless Communications
Volume	22
Issue number	11
Early online date	6 Mar 2023
DOIs	https://doi.org/10.1109/TWC.2023.3250442
Publication status	Published - Nov 2023
Externally published	Yes

Bibliographical note

This work was supported in part by the National Natural Science Foundation of China under Grant 62101234, Grant 62101232, Grant 62022020, and Grant U20B2039; in part by the Shenzhen Science and Technology Program under Grant 20220815100308002 and Grant JCYJ20220530114412029; in part by the Young Elite Scientist Sponsorship Program through the China Association for Science and Technology (CAST) under Grant YESS20210055; in part by the Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257; and in part by the National Key Research and Development Project under Grant 2020YFB1807600.

Keywords

beam tracking
curvilinear coordinate system
integrated sensing and communication
V2X

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10.1109/TWC.2023.3250442

Cite this

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title = "Vehicular Connectivity on Complex Trajectories : Roadway-Geometry Aware ISAC Beam-Tracking",

abstract = "In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries. To improve the tracking accuracy and communication quality of service (QoS) in vehicle to infrastructure (V2I) networks, it is essential to model the complicated roadway geometry. To that end, we impose the curvilinear coordinate system (CCS) in an interacting multiple model extended Kalman filter (IMM-EKF) framework. By doing so, both the position and the motion of the vehicle on a complicated road can be explicitly modeled and precisely tracked attributing to the benefits from the CCS. Furthermore, an optimization problem is formulated to maximize the array gain by dynamically adjusting the array size and thereby controlling the beamwidth, which takes the performance loss caused by beam misalignment into account. Numerical simulations demonstrate that the roadway geometry-aware ISAC beamforming approach outperforms the communication-only-based and ISAC kinematic-only-based technique in tracking performance. Moreover, the effectiveness of the dynamic beamwidth design is also verified by our numerical results.",

keywords = "beam tracking, curvilinear coordinate system, integrated sensing and communication, V2X",

author = "Xiao MENG and Fan LIU and Christos MASOUROS and Weijie YUAN and Qixun ZHANG and Zhiyong FENG",

note = "This work was supported in part by the National Natural Science Foundation of China under Grant 62101234, Grant 62101232, Grant 62022020, and Grant U20B2039; in part by the Shenzhen Science and Technology Program under Grant 20220815100308002 and Grant JCYJ20220530114412029; in part by the Young Elite Scientist Sponsorship Program through the China Association for Science and Technology (CAST) under Grant YESS20210055; in part by the Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257; and in part by the National Key Research and Development Project under Grant 2020YFB1807600.",

year = "2023",

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AU - ZHANG, Qixun

AU - FENG, Zhiyong

N1 - This work was supported in part by the National Natural Science Foundation of China under Grant 62101234, Grant 62101232, Grant 62022020, and Grant U20B2039; in part by the Shenzhen Science and Technology Program under Grant 20220815100308002 and Grant JCYJ20220530114412029; in part by the Young Elite Scientist Sponsorship Program through the China Association for Science and Technology (CAST) under Grant YESS20210055; in part by the Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257; and in part by the National Key Research and Development Project under Grant 2020YFB1807600.

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N2 - In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries. To improve the tracking accuracy and communication quality of service (QoS) in vehicle to infrastructure (V2I) networks, it is essential to model the complicated roadway geometry. To that end, we impose the curvilinear coordinate system (CCS) in an interacting multiple model extended Kalman filter (IMM-EKF) framework. By doing so, both the position and the motion of the vehicle on a complicated road can be explicitly modeled and precisely tracked attributing to the benefits from the CCS. Furthermore, an optimization problem is formulated to maximize the array gain by dynamically adjusting the array size and thereby controlling the beamwidth, which takes the performance loss caused by beam misalignment into account. Numerical simulations demonstrate that the roadway geometry-aware ISAC beamforming approach outperforms the communication-only-based and ISAC kinematic-only-based technique in tracking performance. Moreover, the effectiveness of the dynamic beamwidth design is also verified by our numerical results.

AB - In this paper, we propose sensing-assisted beamforming designs for vehicles on arbitrarily shaped roads by relying on integrated sensing and communication (ISAC) signalling. Specifically, we aim to address the limitations of conventional ISAC beam-tracking schemes that do not apply to complex road geometries. To improve the tracking accuracy and communication quality of service (QoS) in vehicle to infrastructure (V2I) networks, it is essential to model the complicated roadway geometry. To that end, we impose the curvilinear coordinate system (CCS) in an interacting multiple model extended Kalman filter (IMM-EKF) framework. By doing so, both the position and the motion of the vehicle on a complicated road can be explicitly modeled and precisely tracked attributing to the benefits from the CCS. Furthermore, an optimization problem is formulated to maximize the array gain by dynamically adjusting the array size and thereby controlling the beamwidth, which takes the performance loss caused by beam misalignment into account. Numerical simulations demonstrate that the roadway geometry-aware ISAC beamforming approach outperforms the communication-only-based and ISAC kinematic-only-based technique in tracking performance. Moreover, the effectiveness of the dynamic beamwidth design is also verified by our numerical results.

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Vehicular Connectivity on Complex Trajectories : Roadway-Geometry Aware ISAC Beam-Tracking

Abstract

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Keywords

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