Digital Twin Assisted Beamforming Design for
Integrated Sensing and Communication Systems
Published at 2024 Asilomar Conference on Signals, Systems, and Computers
Shuaifeng Jiang and Ahmed Alkhateeb
Wireless Intelligence Lab, Arizona State University, USA
Fig. 1. This figure presents the key idea of leveraging the digital twin to design the joint communication and sensing beamforming. The digital twin can provide partial channel information to guide the beamforming.
Abstract
This paper explores a novel research direction where a digital twin is leveraged to assist the beamforming design for an integrated sensing and communication (ISAC) system. In this setup, a base station designs joint communication and sensing beamforming to serve the communication user and detect the sensing target concurrently. Utilizing the electromagnetic (EM) 3D model of the environment and ray tracing, the digital twin can provide various information, e.g., propagation path parameters and wireless channels, to aid communication and sensing systems. More specifically, our digital twin-based beamforming design first leverages the environment EM 3D model and ray tracing to (i) predict the directions of the line-of-sight (LoS) and non-line-of-sight (NLoS) sensing channel paths and (ii) identify the dominant one among these sensing channel paths. Then, to optimize the joint sensing and communication beam, we maximize the sensing signal-to-noise ratio (SNR) on the dominant sensing channel component while satisfying a minimum communication signal-to-interference-plus-noise ratio (SINR) requirement. Simulation results show that the proposed digital twin-assisted beamforming design achieves near-optimal target sensing SNR in both LoS and NLoS dominant areas, while ensuring the required SINR for the communication user. This highlights the potential of leveraging digital twins to assist ISAC systems.
Simulation Results
Fig. 2. This figure shows the CDF of the sensing SNR with the min. communication SINR of 10 dB. The proposed digital twin-aided approach achieves near-optimal performance compared to the genie-aided approach that has full channel knowledge in both the LoS dominant and NLoS dominant areas.
Citation
If you want to use the dataset or scripts in this page, please cite the following paper:
Shuaifeng Jiang, and Ahmed Alkhateeb, ‘Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems’, Asilomar conference on signals, systems, and computers, IEEE, 2024.
@inproceedings{jiang2024digital,
title={Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems},
author={Jiang, Shuaifeng and Alkhateeb, Ahmed},
booktitle={Asilomar conference on signals, systems, and computers},
year={2024},
organization={IEEE},
}