98 citations · 106 across the 11 of their papers we have counts for
11 papers
Fluid Antenna Array Enhanced Over-the-Air Computation
Deyou Zhang, Sicong Ye, Ming Xiao +3
Over-the-air computation (AirComp) has emerged as a promising technology for fast wireless data aggregation by harnessing the superposition property of wireless multiple-access cha…
Beamforming Design for Active RIS-Aided Over-the-Air Computation
Deyou Zhang, Ming Xiao, Mikael Skoglund +1
Over-the-air computation (AirComp) is emerging as a promising technology for wireless data aggregation. However, its performance is hampered by users with poor channel conditions.…
Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design
Deyou Zhang, Ming Xiao, Mikael Skoglund
In this paper, we investigate the communication designs of over-the-air computation (AirComp) empowered federated learning (FL) systems considering uplink model aggregation and dow…
Federated Learning via Active RIS Assisted Over-the-Air Computation
Deyou Zhang, Ming Xiao, Mikael Skoglund +1
In this paper, we propose leveraging the active reconfigurable intelligence surface (RIS) to support reliable gradient aggregation for over-the-air computation (AirComp) enabled fe…
NOMA Enabled Multi-Access Edge Computing: A Joint MU-MIMO Precoding and Computation Offloading Design
Deyou Zhang, Meng Wang, Shuo Shi +1
This letter investigates computation offloading and transmit precoding co-design for multi-access edge computing (MEC), where multiple MEC users (MUs) equipped with multiple antenn…
IRS Assisted Federated Learning A Broadband Over-the-Air Aggregation Approach
Deyou Zhang, Ming Xiao, Zhibo Pang +2
We consider a broadband over-the-air computation empowered model aggregation approach for wireless federated learning (FL) systems and propose to leverage an intelligent reflecting…
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach
Deyou Zhang, Ming Xiao, Mikael Skoglund
In this paper, we develop an efficient training beam sequence design approach for millimeter wave MISO tracking systems. We impose a discrete state Markov process assumption on the…
Cooperative Beamforming for RIS-Aided Cell-Free Massive MIMO Networks
Xinying Ma, Deyou Zhang, Ming Xiao +2
The combination of cell-free massive multiple-input multiple-output (CF-mMIMO) and reconfigurable intelligent surface (RIS) is envisioned as a promising paradigm to improve network…
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Hao Chen, Shaocheng Huang, Deyou Zhang +3
To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique especially for large-scale model trai…
Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks
Zijie Ji, Phee Lep Yeoh, Deyou Zhang +5
We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achiev…
Beam Allocation for Millimeter-Wave MIMO Tracking Systems
Deyou Zhang, Ang Li, He Chen +4
In this paper, we propose a new beam allocation strategy aiming to maximize the average successful tracking probability (ASTP) of time-varying millimeter-wave MIMO systems. In cont…