collaborators

5 papers

eess.SP2026

From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks

Weijie Yuan, Yuanhao Cui, Jiacheng Wang +13

In this article, we introduce a novel low-altitude wireless network (LAWN), which is a reconfigurable, three-dimensional (3D) layered architecture. In particular, the LAWN integrat…

eess.SP2025

From Optimization to Learning: Dual-Approach Resource Allocation for Over-the-Air Edge Computing Under Execution Uncertainty

Tuo Wu, Xiazhi Lai, Shihang Lu +3

The exponential proliferation of mobile devices and data-intensive applications in future wireless networks imposes substantial computational burdens on resource-constrained device…

eess.SP2025

Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead

Jun Wu, Weijie Yuan, Xiaoqi Zhang +7

Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental per…

eess.SP2025

Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks

Haijia Jin, Jun Wu, Weijie Yuan +2

The rapid advancement of Internet of Things (IoT) services and the evolution toward the sixth generation (6G) have positioned unmanned aerial vehicles (UAVs) as critical enablers o…

eess.SP2025

IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff

Guangji Chen, Jun Li, Qingqing Wu +2

This paper investigates an intelligent reflecting surface (IRS) aided wireless federated learning (FL) system, where an access point (AP) coordinates multiple edge devices to train…