1 citations · 3 across the 11 of their papers we have counts for
9 papers · 1 filter
Robust Optimization for Movable Antenna-aided Cell-Free ISAC with Time Synchronization Errors
Yue Xiu, Yang Zhao, Ran Yang +5
The cell-free integrated sensing and communication (CF-ISAC) system, which effectively mitigates intra-cell interference and provides precise sensing accuracy, is a promising techn…
Movable Antenna Enhanced Federated Fine-Tuning of Large Language Models via Hybrid Client Selection Optimization
Yang Zhao, Yue Xiu, Chengxiao Dai +2
Federated fine-tuning of large language models (LLMs) over bandwidth-limited 6G links must meet strict round-time and energy budgets. Analog over-the-air (OTA) aggregation reduces…
Fluid Antenna Enabled Over-the-Air Federated Learning: Joint Optimization of Positioning, Beamforming, and User Selection
Yang Zhao, Minrui Xu, Ping Wang +1
Over-the-air (OTA) federated learning (FL) effectively utilizes communication bandwidth, yet it is vulnerable to errors during analog aggregation. While removing users with unfavor…
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…
Latency Minimization for Movable Antennas-Enabled Relay-aided D2D Mobile Edge Computing Communication Systems
Yue Xiu, Yang Zhao, Ran Yang +5
Device-to-device (D2D)-assisted mobile edge computing (MEC) is one of the critical technologies of future sixth generation (6G) networks. The core of D2D-assisted MEC is to reduce…
Movable Antenna-Aided Federated Learning with Over-the-Air Aggregation: Joint Optimization of Positioning, Beamforming, and User Selection
Yang Zhao, Yue Xiu, Minrui Xu +1
Federated learning (FL) in wireless computing effectively utilizes communication bandwidth, yet it is vulnerable to errors during the analog aggregation process. While removing use…