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20242026
most citedFedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving

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eess.SP2026

Unified framework for outage-constrained rate maximization in secure ISAC under various sensing metrics

Hancheng Zhu, Zongze Li, Yik-Chung Wu

Integrated sensing and communication (ISAC) is poised to redefine the landscape of wireless networks by seamlessly combining data transmission and environmental sensing. However, I…

eess.SP2025

Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network

Yichen Jin, Zongze Li, Zeyi Ren +2

This paper addresses the challenge of large model (LM)-embedded wireless network for handling the trade-off problem of model accuracy and network latency. To guarantee a high-quali…

eess.SP2025

FieldFormer: Self-supervised Reconstruction of Physical Fields via Tensor Attention Prior

Panqi Chen, Siyuan Li, Lei Cheng +3

Reconstructing physical field tensors from \textit{in situ} observations, such as radio maps and ocean sound speed fields, is crucial for enabling environment-aware decision making…

eess.SP2025

Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications

Jingreng Lei, Yang Li, Zeyi Ren +4

A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free massive MIMO. However, in practice, as the number of…

eess.SP2025

A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems

Yichen Jin, Qingfeng Lin, Yang Li +4

The recently emerged movable antenna (MA) shows great promise in leveraging spatial degrees of freedom to enhance the performance of wireless systems. However, resource allocation…

eess.SP2024

Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach

Xueke Tong, Hancheng Zhu, Lei Cheng +1

To efficiently express tensor data using the Tucker format, a critical task is to minimize the multilinear rank such that the model would not be over-flexible and lead to overfitti…