5 papers · 1 filter
Communication-Efficient Cooperative Localization: A Graph Neural Network Approach
Yinan Zou, Christopher G. Brinton, Vishrant Tripathi
Cooperative localization leverages noisy inter-node distance measurements and exchanged wireless messages to estimate node positions in a wireless network. In communication-constra…
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
Yinan Zou, Yong Zhou, Xu Chen +1
Grant-free random access is an effective technology for enabling low-overhead and low-latency massive access, where joint activity detection and channel estimation (JADCE) is a cri…
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Yinan Zou, Zixin Wang, Xu Chen +2
In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perfo…
Learning Proximal Operator Methods for Massive Connectivity in IoT Networks
Yinan Zou, Yong Zhou, Yuanming Shi +1
Grant-free random access has the potential to support massive connectivity in Internet of Things (IoT) networks, where joint activity detection and channel estimation (JADCE) is a…
Optimal Receive Beamforming for Over-the-Air Computation
Wenzhi Fang, Yinan Zou, Hongbin Zhu +2
In this paper, we consider fast wireless data aggregation via over-the-air computation (AirComp) in Internet of Things (IoT) networks, where an access point (AP) with multiple ante…