most citedCSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Intelligent Multimodal Multi-Sensor Fusion-Based UAV Identification, Localization, and Countermeasures for Safeguarding Low-Altitude Economy

Yi Tao, Zhen Gao, Fangquan Ye +9

The development of the low-altitude economy has led to a growing prominence of uncrewed aerial vehicle (UAV) safety management issues. Therefore, accurate identification, real-time…

eess.SP2024

Integrated Location Sensing and Communication for Ultra-Massive MIMO With Hybrid-Field Beam-Squint Effect

Zhen Gao, Xingyu Zhou, Boyu Ning +3

The advent of ultra-massive multiple-input-multiple output systems holds great promise for next-generation communications, yet their channels exhibit hybrid far- and near- field be…

cs.IT2024★ 1 cited

CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels

Ye Zeng, Li Qiao, Zhen Gao +5

In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integr…

cs.IT2024

Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain

Keke Ying, Zhen Gao, Yu Su +3

Reconfigurable massive multiple-input multiple-output (RmMIMO), as an electronically-controlled fluid antenna system, offers increased flexibility for future communication systems…

cs.IT2024

Near-Space Communications: the Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle

Hongshan Liu, Tong Qin, Zhen Gao +16

This article presents a comprehensive study on the emerging near-space communications (NS-COM) within the context of space-air-ground-sea integrated network (SAGSIN). Specifically,…