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eess.SP2026

Heterogeneous Mixture-of-Experts for Energy-Efficient Multimodal ISAC in Highly Mobile Networks

Wenqi Fan, Ning Wei, Rongyan Xi +5

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous h…

eess.SP2026

Score-Based Conditional Flow Models for MIMO Receiver Design with Superimposed Pilots

Ruhao Zhang, Yupeng Li, Yitong Liu +4

Accurate channel state information (CSI) is vital for multiple-input multiple-output (MIMO) systems. However, superimposed pilots (SIP), which reduce overhead, introduce severe pil…

eess.SP2026

Experimental Performance of Bidirectional Phase Coherent Transmission and Sensing for mmWave Cell-free Massive MIMO Systems with Reciprocity Calibration

Qingji Jiang, Jing jin, Qixing Wang +9

Phase synchronization among distributed transmission reception points (TRPs) is a prerequisite for enabling coherent joint transmission and high-precision sensing in millimeter wav…

eess.SP2025

Denoising and Augmentation: A Dual Use of Diffusion Model for Enhanced CSI Recovery

Yupeng Li, Ruhao Zhang, Yitong Liu +3

This letter introduces a dual application of denoising diffusion probabilistic model (DDPM)-based channel estimation algorithm integrating data denoising and augmentation. Denoisin…

eess.SP2025

Performance Analysis of Cooperative Integrated Sensing and Communications for 6G Networks

Dongsheng Sui, Cunhua Pan, Hong Ren +5

In this work, we aim to effectively characterize the performance of cooperative integrated sensing and communication (ISAC) networks and to reveal how performance metrics relate to…

eess.SP2025

Movable Antenna-Aided Cooperative ISAC Network with Time Synchronization error and Imperfect CSI

Yue Xiu, Yang Zhao, Ran Yang +5

Cooperative-integrated sensing and communication (C-ISAC) networks have emerged as promising solutions for communication and target sensing. However, imperfect channel state inform…