Accelerated LDM-Enabled Digital Twin of Channel for Massive MIMO Statistical CSI Generation

TY - JOUR

T1 - Accelerated LDM-Enabled Digital Twin of Channel for Massive MIMO Statistical CSI Generation

AU - Dong, Xu

AU - Gong, Xinrui

AU - Lu, An An

AU - Gao, Xiqi

AU - Xia, Xiang Gen

AU - Zeng, Yong

AU - Wang, Cheng Xiang

N1 - Publisher Copyright: © 2002-2012 IEEE.

PY - 2026

Y1 - 2026

N2 - With advancements in wireless communication and localization technologies, cellular networks are evolving towards integrated sensing and communication (ISAC) capabilities. To address the challenges of sensing-assisted communication, we introduce the digital twin of channel (DToC). Specifically, locations of user terminals (UTs) and their statistical channel state information (sCSI) are treated as physical objects and virtual counterparts in the concept of digital twin (DT), respectively. In this work, we establish a probabilistic model that characterizes sCSI as a location-conditioned distribution. To enable precise sCSI generation, we enhance the latent diffusion model (LDM) and propose an improved latent diffusion model (ILDM) with deterministic sampling. We further propose an accelerated LDM method to speed up the generation process by skipping certain sampling steps. Simulation results demonstrate that the proposed ILDM achieves high accuracy in generating sCSI, while the accelerated LDM delivers significant speedups with minor performance degradation. Our results also validate that the DToC framework can effectively generate sCSI without pilot overhead.

AB - With advancements in wireless communication and localization technologies, cellular networks are evolving towards integrated sensing and communication (ISAC) capabilities. To address the challenges of sensing-assisted communication, we introduce the digital twin of channel (DToC). Specifically, locations of user terminals (UTs) and their statistical channel state information (sCSI) are treated as physical objects and virtual counterparts in the concept of digital twin (DT), respectively. In this work, we establish a probabilistic model that characterizes sCSI as a location-conditioned distribution. To enable precise sCSI generation, we enhance the latent diffusion model (LDM) and propose an improved latent diffusion model (ILDM) with deterministic sampling. We further propose an accelerated LDM method to speed up the generation process by skipping certain sampling steps. Simulation results demonstrate that the proposed ILDM achieves high accuracy in generating sCSI, while the accelerated LDM delivers significant speedups with minor performance degradation. Our results also validate that the DToC framework can effectively generate sCSI without pilot overhead.

KW - Integrated sensing and communication

KW - accelerated LDM

KW - digital twin of channel

KW - improved latent diffusion model

KW - sCSI generation

UR - https://www.scopus.com/pages/publications/105021987176

U2 - 10.1109/TWC.2025.3629739

DO - 10.1109/TWC.2025.3629739

M3 - Article

AN - SCOPUS:105021987176

SN - 1536-1276

VL - 25

SP - 7148

EP - 7163

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

ER -