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Joint Digital Twin Synchronization Scheduling and Resource Allocation for Post-Disaster Wireless Networks

delete2026-07-20
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PRE
AI
A
Abdullah Othman
G
Georges Kaddoum
J
João V. C. Evangelista
M
Minh Au
B
Basile L. Agba
DOI:10.1109/tnsm.2026.3714917delete
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Abstract

Abstract

En 中文
Digital twins (DTs) of wireless networks rely on accurate channel information to support resource allocation decisions. In post-disaster scenarios, the physical environment changes abruptly, rendering the DT’s pre-disaster channel model obsolete. Since restoring DT accuracy requires synchronization with the physical network through costly environmental updates, a fundamental tradeoff emerges between synchronization cost and decision quality. This paper formulates the joint optimization of DT synchronization scheduling, user–base station association, and uplink power control as a mixed-integer nonlinear program that maximizes the minimum user rate subject to synchronization budget and resource constraints. We decompose the problem into three subproblems solved via successive convex approximation and prove convergence of the alternating procedure to a stationary point. For the synchronization subproblem, we propose both a model-unaware formulation based on a coverage linear program requiring only user trajectory information, and a model-aware formulation that additionally exploits post-disaster channel knowledge to optimize the sync schedule for rate maximization. To characterize the impact of positioning uncertainty on the cell-based spatial model, we derive a closed-form expression for the cell-misclassification probability and develop a semi-analytical utility model that predicts the optimal grid resolution as a function of localization accuracy. The results of our simulations based on ray-traced channel data confirm that the proposed model-unaware sync closes 64–81% of the gap to the full-knowledge oracle across a range of system parameters, while the model-aware variant achieves 79–91% when post-disaster channels are available. The model-unaware approach thus exhibits the lowest sensitivity to DT model errors among all tested methods, making it the preferred choice when channel estimates are imperfect.
Keywords:
Digital twin
post-disaster communications
synchronization scheduling
resource allocation
successive convex approximation
localization uncertainty

Journal

IEEE Transactions on Network and Service Management cover
IEEE Transactions on Network and Service Management
IF:
5.4
Papers:
509
Citations:
9.2K

Organization

H
hydro-québec research institute
Scholars:
7
Papers: 4
Citations: 0
E
Ericsson Canada
Scholars:
5
Papers: 5
Citations: 0
U
Université du Québec
Scholars:
134
Papers: 60
Citations: 157
Cited Papers

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