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eess.SP2026

Toward Service-Balanced ISAC: From Coupled RAN to De-Coupled RAN

Gangyong Zhu, Linghui Miao, Boyang Ji +8

Sixth-generation (6G) applications require radio access networks (RANs) to support reliable communication and seamless sensing across their operating regions. In coupled RAN deploy…

eess.SP2026

Stay or Switch: Online Conformal Bayesian Optimization Guided Fluid Antenna Configuration

Gangyong Zhu, Jia Yan, Shijian Gao

Fluid antenna systems (FAS) introduce additional spatial degrees of freedom to enable integrated sensing and communication (ISAC) in air-ground networks. However, conventional stud…

eess.SP2026

Radio Map Updating from Streaming Spectrum Measurements via Memory-Based Online Gaussian Processes

Yuanyuan Deng, Bo Zhou, Tian Chen +5

Radio maps, which estimate spatial radio-frequency characteristics from spectrum measurements, are essential for applications such as spectrum management and network planning. With…

eess.SP2026

Sensing-Native Over-the-Air Federated Learning

Peiyuan Huang, Shijian Gao, Jia Yan +1

Over-the-air federated learning (FL) leverages the superposition property of multiple-access channels to enable communication-efficient distributed model training. Existing integra…

eess.SP2026

Grey-Box Bayesian Optimization for ISAC in Fluid-Antenna Assisted Air-Ground Network

Gangyong Zhu, Jia Yan, Miaowen Wen +1

Fluid antenna systems (FAS) provide additional spatial diversity for integrated sensing and communication (ISAC) through joint port selection and precoding. \rev{However, existing…

eess.SP2025

Robust MIMO Semantic Communication with Imperfect CSI via Knowledge Distillation

Mingze Gong, Shuoyao Wang, Shijian Gao +2

Semantic communication (SemComm) has emerged as a new communication paradigm. To enhance efficiency, multiple-input-multiple-output (MIMO) technology has been further integrated in…