A Digital Twin Assisted Framework for Interference
Nulling in Millimeter Wave MIMO Systems
Published at IEEE ICC 2023 Workshop
Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
Wireless Intelligence Lab, Arizona State University, USA
Fig. 1. An illustration of the proposed digital twin-assisted interference-aware
beam pattern learning framework.
Abstract
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. However, most of the existing codebooks adopt pre-defined beams that focus mainly on improving the gain of their target users, without taking interference into account, which could incur critical performance degradation in dense networks. To address this problem, in this paper, we propose a sample-efficient digital twin-assisted beam pattern design framework that learns how to form the beam pattern to reject the signals from the interfering directions. The proposed approach does not require any explicit channel knowledge or any coordination with the interferers. The adoption of the digital twin improves the sample efficiency by better leveraging the underlying signal relationship and by incorporating a demand-based data acquisition strategy. Simulation results show that the developed signal model-based learning framework can significantly reduce the actual interaction with the radio environment (i.e., the number of measurements) compared to the model-unaware design, leading to a more practical and efficient interference-aware beam design approach.
Simulation Results
Fig. 2. The performance of the proposed digital twin-assisted beam learning framework. In (a), we compare the proposed signal model-based digital twin
design with the FC-based design to show the significant reduction on the required real measurements. In (b) and (c), we show the learning experience of the DRL agent when interacting with the actual environment and the trained digital twin, to highlight the efficacy of such “virtual” environment
Reproduce the Results
Citation
If you want to use the dataset or scripts in this page, please cite the following paper:
Yu Zhang and Tawfik Osman and Ahmed Alkhateeb, ‘A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems’, arXiv [eess.SP]. 2023.
@misc{zhang2023digitaltwinassistedframework,
title={A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems},
author={Yu Zhang and Tawfik Osman and Ahmed Alkhateeb},
year={2023},
eprint={2301.13311},
archivePrefix={arXiv},
primaryClass={cs.IT},
url={https://arxiv.org/abs/2301.13311},
}