370
Views
68
Downloads
3
Crossref
N/A
WoS
1
Scopus
N/A
CSCD
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
This work is available under the CC BY-NC-ND 3.0 IGO license:https://creativecommons.org/licenses/by-nc-nd/3.0/igo/