Integration of 6 G signal processing, communication, and computing based on information timeliness-aware digital twin

Liao, H, Shu, Y, Lu, J, Zhou, Z, Tariq, M and Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149, 2024. Integration of 6 G signal processing, communication, and computing based on information timeliness-aware digital twin. IEEE Journal of Selected Topics in Signal Processing. ISSN 1932-4553

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Abstract

6 G has emerged as a feasible solution to enable intelligent electric vehicle (EV) energy management. It can be further combined with digital twin (DT) to optimize resource management under unobservable information. However, the lack of reliable information timeliness guarantee increases DT inconsistency and undermines resource management optimality. To address this challenge, we investigate DT-empowered resource management from the perspective of age of information (AoI) optimization. We utilize AoI as an effective information timeliness metric to measure DT consistency, and construct an AoI-optimal DT (AoIo-DT) to assist resource management by providing more accurate state estimates. A joint optimization algorithm of signal processing, communication, and computing integration based on AoI-aware deep actor critic (DAC) with DT assistance is proposed to achieve balanced tradeoff between DT consistency and precision improvement of EV energy management. It further improves learning convergence and optimality of DAC by enforcing training with data samples of smaller AoI. Numerical results verify its performance gain in AoI minimization and EV energy management optimization.

Item Type:	Journal article
Publication Title:	IEEE Journal of Selected Topics in Signal Processing
Creators:	Liao, H., Shu, Y., Lu, J., Zhou, Z., Tariq, M. and Mumtaz, S.
Publisher:	Institute of Electrical and Electronics Engineers
Date:	25 January 2024
ISSN:	1932-4553
Identifiers:	Number Type 10.1109/jstsp.2023.3341353 DOI 1856398 Other
Rights:	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	30 Jan 2024 16:03
Last Modified:	30 Jan 2024 16:03
URI:	https://irep.ntu.ac.uk/id/eprint/50771

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