Speaker
Description
Beyond-fifth-generation (B5G), sixth-generation (6G) and Internet-of- Things (IoT) applications, such as autonomous driving and robot-assisted living anticipate scenarios where multiple user equipment (UE) not only communicate with multiple access points (APs), but also collaborate among themselves and utilise communication signals in the detection and identification of objects in the environment [1].
Motivated by this emerging paradigm, joint communications and sensing (JCAS), or integrated sensing and communications (ISAC) systems have been heavily investigated in recent years [2,3]. We contribute to this field with a novel JCAS algorithm without the usage of radar processing, but rather via extracting environmental information from the scattered paths of communication signals typical of the high frequency bands envisioned for B5G and 6G systems.
In particular, we model the environment as a voxelated occupancy grid [4] and employ a custom tailored message passing algorithm leveraging the bilinear Gaussian belief propagation (BiGaBP) framework to jointly estimate the 3D object in the form of voxel occupancies (filled/empty space) and the information of the data symbols. Simulation results verify the effectiveness of the proposed algorithm in both signal and environment estimation, where the three-dimensional (3D) shape of the environment objects are perfectly reconstructed with sufficient signal-to-noise ratio (SNR) while achieving a low communications error rate.
Parts of this work has been presented and published through the 2022 Asilomar Conference on Signals, Systems, and Computers [5].
References
[1] W. Saad et al., “A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,” IEEE Network, vol. 34, no. 3, pp. 134–142, 2020.
[2] F. Liu et al., “Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond,” IEEE J. Sel. Areas Comm., vol. 40, no. 6, pp. 1728–1767, 2022.
[3] J. A. Zhang, M. L. Rahman, K. Wu, X. Huang, Y. J. Guo, S. Chen, and J. Yuan, “Enabling joint communication and radar sensing in mobile networks - a survey,” IEEE Comm. Surveys Tuts., vol. 24, no. 1, pp. 306–345, 2022
[4] Y. Zhang et al., “3D environment sensing with channel state information based on computational imaging,” in 2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, pp. 842–847
[5] H. S. Rou et al., "Asymmetric Bilinear Inference for Joint Communications and Environment Sensing," 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 1111-1115.
| Keywords | B5G, Wireless Communications, Joint Communications and Sensing (JCAS), Integrated Sensing and Communications (ISAC), Bilinear Inference, Message Passing |
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