99 citations · 664 across the 27 of their papers we have counts for
6 papers · 1 filter
Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge
Meihui Hua, Hui Tian, Xinchen Lyu +2
By exploiting the superiority of non-orthogonal multiple access (NOMA), NOMA-aided mobile edge computing (MEC) can provide scalable and low-latency computing services for the Inter…
STAR-RIS Integrated Non-Orthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization
Wanli Ni, Yuanwei Liu, Yonina C. Eldar +2
This paper integrates non-orthogonal multiple access (NOMA) and over-the-air federated learning (AirFL) into a unified framework using one simultaneous transmitting and reflecting…
Research on Resource Allocation for Efficient Federated Learning
Jianyang Ren, Wanli Ni, Gaofeng Nie +1
As a promising solution to achieve efficient learning among isolated data owners and solve data privacy issues, federated learning is receiving wide attention. Using the edge serve…
QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface
Jingheng Zheng, Wanli Ni, Hui Tian
This paper investigates the model aggregation process in an over-the-air federated learning (AirFL) system, where an intelligent reflecting surface (IRS) is deployed to assist the…
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?
Wanli Ni, Yuanwei Liu, Zhaohui Yang +2
With the aim of integrating over-the-air federated learning (AirFL) and non-orthogonal multiple access (NOMA) into an on-demand universal framework, this paper proposes a novel rec…
Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks
Weilai Li, Wanli Ni, Hui Tian +1
Cell-free network is considered as a promising architecture for satisfying more demands of future wireless networks, where distributed access points coordinate with an edge cloud p…