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The 6th generation (6G) wireless networks will likely to support a variety of capabilities beyond communication, such as sensing and localization, through the use of communication networks empowered by advanced technologies. Integrated sensing and communication (ISAC) has been recognized as a critical technology as well as a usage scenario for 6G, as widely agreed by leading global standardization bodies. ISAC utilizes communication infrastructure and devices to provide the capability of sensing the environment with high resolution, as well as tracking and localizing moving objects nearby. Meeting both the requirements for communication and sensing simultaneously, ISAC-based approaches celebrate the advantages of higher spectral and energy efficiency compared to two separate systems to serve two purposes, and potentially lower costs and easy deployment. A key step towards the standardization and commercialization of ISAC is to carry out comprehensive field trials in practical networks, such as the 5th generation (5G) networks, to demonstrate its true capacities in practical scenarios. In this paper, an ISAC-based outdoor multi-target detection, tracking and localization approach is proposed and validated in 5G networks. The proposed system comprises of 5G base stations (BSs) which serve nearby mobile users normally, while accomplishing the task of detecting, tracking, and localizing drones, vehicles, and pedestrians simultaneously. Comprehensive trial results demonstrate the relatively high accuracy of the proposed method in practical outdoor environment when tracking and localizing single targets and multiple targets.


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Integrated sensing and communication based outdoor multi-target detection, tracking, and localization in practical 5G Networks

Show Author's information Ruiqi LiuMengnan JianDawei Chen( )Xu LinYichao ChengWei ChengShijun Chen
Wireless Research Institute, ZTE Corporation, Beijing 100029, China and also with the State Key Laboratory of Mobile Network and Mobile Multimedia Technology, Shenzhen 518055, China

Abstract

The 6th generation (6G) wireless networks will likely to support a variety of capabilities beyond communication, such as sensing and localization, through the use of communication networks empowered by advanced technologies. Integrated sensing and communication (ISAC) has been recognized as a critical technology as well as a usage scenario for 6G, as widely agreed by leading global standardization bodies. ISAC utilizes communication infrastructure and devices to provide the capability of sensing the environment with high resolution, as well as tracking and localizing moving objects nearby. Meeting both the requirements for communication and sensing simultaneously, ISAC-based approaches celebrate the advantages of higher spectral and energy efficiency compared to two separate systems to serve two purposes, and potentially lower costs and easy deployment. A key step towards the standardization and commercialization of ISAC is to carry out comprehensive field trials in practical networks, such as the 5th generation (5G) networks, to demonstrate its true capacities in practical scenarios. In this paper, an ISAC-based outdoor multi-target detection, tracking and localization approach is proposed and validated in 5G networks. The proposed system comprises of 5G base stations (BSs) which serve nearby mobile users normally, while accomplishing the task of detecting, tracking, and localizing drones, vehicles, and pedestrians simultaneously. Comprehensive trial results demonstrate the relatively high accuracy of the proposed method in practical outdoor environment when tracking and localizing single targets and multiple targets.

Keywords: prototype, 5G, detection, localization, trial, integrated sensing and communication, track

References(26)

[1]
R. Liu, R. Y. N. Li, M. Di Renzo, and L. Hanzo, A vision and an evolutionary framework for 6G: Scenarios, capabilities and enablers, arXiv preprint arXiv: 2305.13887, 2023.
[2]
R. Liu, M. Hua, K. Guan, X. Wang, L. Zhang, T. Mao, D. Zhang, Q. Wu, and A. Jamalipour, 6G enabled advanced transportation systems, arXiv preprint arXiv: 2305.15184, 2023.
[3]

Y. Cui, F. Liu, X. Jing, and J. Mu, Integrating sensing and communications for ubiquitous IoT: Applications, trends, and challenges, IEEE Netw., vol. 35, no. 5, pp. 158–167, 2021.

[4]
L. Han and K. Wu, 24-GHz joint radar and radio system capable of time-agile wireless sensing and communication, in Proc. 2011 IEEE MTT-S Int. Microwave Symp., Baltimore, MD, USA, 2011, pp. 1–4.
DOI
[5]
R. Liu, C. Zhang, and P. Hou, TDoA positioning in single frequency networks without transmitter identities, in Proc. 2019 IEEE 90th Vehicular Technology Conf. (VTC2019-Fall), Honolulu, HI, USA, 2019, pp. 1–5.
DOI
[6]
R. Liu, W. Dai, and C. Zhang, Multi-target detection by distributed passive radar systems without reference signals, in Proc. 2021 IEEE Wireless Communications and Networking Conf. (WCNC), Nanjing, China, 2021, pp. 1–5.
DOI
[7]

R. Liu, C. Zhang, and J. Song, Line of sight component identification and positioning in single frequency networks under multipath propagation, IEEE Trans. Broadcast., vol. 65, no. 2, pp. 220–233, 2019.

[8]

Z. Zhang, R. He, B. Ai, M. Yang, C. Li, H. Mi, and Z. Zhang, A general channel model for integrated sensing and communication scenarios, IEEE Commun. Mag., vol. 61, no. 5, pp. 68–74, 2023.

[9]
3GPP, Study on channel model for frequencies from 0.5 to 100 GHz, Tech. Rep. , 3GPP, Valbonne, France, 2017.
[10]
R. Yang, C. X. Wang, J. Huang, E. H. M. Aggoune, and Y. Hao, A novel 6G ISAC channel model combining forward and backward scattering, IEEE Trans. Wirel. Commun., DOI: 10.1109/TWC.2023.3258150.
DOI
[11]

Z. Lyu, G. Zhu, and J. Xu, Joint maneuver and beamforming design for UAV-enabled integrated sensing and communication, IEEE Trans. Wirel. Commun., vol. 22, no. 4, pp. 2424–2440, 2023.

[12]

J. A. Zhang, F. Liu, C. Masouros, R. W. Heath, Z. Feng, L. Zheng, and A. Petropulu, An overview of signal processing techniques for joint communication and radar sensing, IEEE J. Sel. Top. Signal Process., vol. 15, no. 6, pp. 1295–1315, 2021.

[13]

Y. Wu, F. Lemic, C. Han, and Z. Chen, Sensing integrated DFT-spread OFDM waveform and deep learning-powered receiver design for terahertz integrated sensing and communication systems, IEEE Trans. Commun., vol. 71, no. 1, pp. 595–610, 2023.

[14]
H. Abdelnasser, K. A. Harras, and M. Youssef, WiGest demo: A ubiquitous WiFi-based gesture recognition system, in Proc. 2015 IEEE Conf. Computer Communications Workshops (INFOCOM WKSHPS), Hong Kong, China, 2015, pp. 17–18.
DOI
[15]

T. Xu, F. Liu, C. Masouros, and I. Darwazeh, An experimental proof of concept for integrated sensing and communications waveform design, IEEE Open J. Commun. Soc., vol. 3, pp. 1643–1655, 2022.

[16]
Q. Zhang, H. Sun, Z. Wei, and Z. Feng, Sensing and communication integrated system for autonomous driving vehicles, in Proc. IEEE Conf. Computer Communications Workshops (INFOCOM WKSHPS), Toronto, Canada, 2020, pp. 1278–1279.
DOI
[17]

S. Mosleh, J. B. Coder, C. G. Scully, K. Forsyth, and M. O. Al Kalaa, Monitoring respiratory motion with Wi-Fi CSI: Characterizing performance and the BreatheSmart algorithm, IEEE Access, vol. 10, pp. 131932–131951, 2022.

[18]
Z. Zhao, R. Liu, and J. Li, Integrated Sensing and Communication based Breath Monitoring using 5G Network, in Proc. 2023 Int. Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, 2023, pp. 43–47.
DOI
[19]

K. Ji, Q. Zhang, Z. Wei, Z. Feng, and P. Zhang, Networking based ISAC hardware testbed and performance evaluation, IEEE Commun. Mag., vol. 61, no. 5, pp. 76–82, 2023.

[20]

R. Liu, Q. Wu, M. Di Renzo, and Y. Yuan, A path to smart radio environments: An industrial viewpoint on reconfigurable intelligent surfaces, IEEE Wirel. Commun., vol. 29, no. 1, pp. 202–208, 2022.

[21]

R. Liu, J. Dou, P. Li, J. Wu, and Y. Cui, Simulation and field trial results of reconfigurable intelligent surfaces in 5G networks, IEEE Access, vol. 10, pp. 122786–122795, 2022.

[22]

J. Hu, H. Zhang, B. Di, L. Li, K. Bian, L. Song, Y. Li, Z. Han, and H. V. Poor, Reconfigurable intelligent surface based RF sensing: Design, optimization, and implementation, IEEE J. Sel. Areas Commun., vol. 38, no. 11, pp. 2700–2716, 2020.

[23]

J. Du, C. Jiang, H. Zhang, X. Wang, Y. Ren, and M. Debbah, Secure satellite-terrestrial transmission over incumbent terrestrial networks via cooperative beamforming, IEEE J. Sel. Areas Commun., vol. 36, no. 7, pp. 1367–1382, 2018.

[24]

D. Zhou, S. Gao, R. Liu, F. Gao, and M. Guizani, Overview of development and regulatory aspects of high altitude platform system, Intelligent and Converged Networks, vol. 1, no. 1, pp. 58–78, 2020.

[25]
3GPP, NR; Physical channels and modulation, https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3213, 2023.
[26]

X. Wu, N. C. Beaulieu, and D. Liu, On favorable propagation in massive MIMO systems and different antenna configurations, IEEE Access, vol. 5, pp. 5578–5593, 2017.

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Received: 22 June 2023
Accepted: 10 August 2023
Published: 30 September 2023
Issue date: September 2023

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This work is available under the CC BY-NC-ND 3.0 IGO license:https://creativecommons.org/licenses/by-nc-nd/3.0/igo/

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