2.2k citations · 6.7k across the 213 of their papers we have counts for
14 papers · 1 filter
Multi-Tier Computing-Enabled Digital Twin in 6G Networks
Kunlun Wang, Yongyi Tang, Trung Q. Duong +3
Digital twin (DT) is the recurrent and common feature in discussions about future technologies, bringing together advanced communication, computation, and artificial intelligence,…
Large Language Model Enhanced Multi-Agent Systems for 6G Communications
Feibo Jiang, Li Dong, Yubo Peng +5
The rapid development of the Large Language Model (LLM) presents huge opportunities for 6G communications, e.g., network optimization and management by allowing users to input task…
A General Analytical Framework for the Resolution of Near-Field Beamforming
Chenguang Rao, Zhiguo Ding, Octavia A. Dobre +1
The resolution is an important performance metric of near-field communication networks. In particular, the resolution of near field beamforming measures how effectively users can b…
Hybrid Hierarchical DRL Enabled Resource Allocation for Secure Transmission in Multi-IRS-Assisted Sensing-Enhanced Spectrum Sharing Networks
Lingyi Wang, Wei Wu, Fuhui Zhou +3
Secure communications are of paramount importance in spectrum sharing networks due to the allocation and sharing characteristics of spectrum resources. To further explore the poten…
Reconfigurable Intelligent Surfaces for 6G: Emerging Hardware Architectures, Applications, and Open Challenges
Ertugrul Basar, George C. Alexandropoulos, Yuanwei Liu +5
Reconfigurable intelligent surfaces (RISs) are rapidly gaining prominence in the realm of fifth generation (5G)-Advanced, and predominantly, sixth generation (6G) mobile networks,…
Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS
Kangjian Chen, Chenhao Qi, Octavia A. Dobre +1
This paper investigates an integrated sensing and communication (ISAC) system with reconfigurable intelligent surface (RIS). Our simultaneous beam training and target sensing (SBTT…
GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks
Yuhang Li, Yang Lu, Bo Ai +3
The advantages of graph neural networks (GNNs) in leveraging the graph topology of wireless networks have drawn increasing attentions. This paper studies the GNN-based learning app…
Liquid Crystal-Based RIS for VLC Transmitters: Performance Analysis, Challenges, and Opportunities
Sylvester Aboagye, Telex M. N. Ngatched, Alain R. Ndjiongue +2
This article presents a novel approach of using reconfigurable intelligent surfaces (RISs) in the transmitter of indoor visible light communication (VLC) systems to enhance data ra…
Physical Layer Security for NOMA Systems: Requirements, Issues, and Recommendations
Saeid Pakravan, Jean-Yves Chouinard, Xingwang Li +4
Non-orthogonal multiple access (NOMA) has been viewed as a potential candidate for the upcoming generation of wireless communication systems. Comparing to traditional orthogonal mu…
Intelligent Reflecting Surface Assisted Multi-Cluster AirComp via Dynamic Beamforming
Yapeng Zhao, Qingqing Wu, Wen Chen +2
This paper studies an multi-cluster over-the-air computation (AirComp) system, where an intelligent reflecting surface (IRS) assists the signal transmission from devices to an acce…
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha +3
Clustered federated Multitask learning is introduced as an efficient technique when data is unbalanced and distributed amongst clients in a non-independent and identically distribu…
A New Design of CR-NOMA and Its Application to AoI Reduction
Zhiguo Ding, Octavia A. Dobre, Pingzhi Fan +1
The aim of this letter is to develop a new design of cognitive radio inspired non-orthogonal multiple access (CR-NOMA), which ensures that multiple new users can be supported witho…
Channel Estimation for RIS-aided mmWave Massive MIMO System Using Few-bit ADCs
Ruizhe Wang, Hong Ren, Cunhua Pan +3
Millimeter wave (mmWave) massive multiple-input multiple-output (massive MIMO) is one of the most promising technologies for the fifth generation and beyond wireless communication…
A Deep Learning & Fast Wavelet Transform-based Hybrid Approach for Denoising of PPG Signals
Rabia Ahmed, Ahsan Mehmood, Muhammad Mahboob Ur Rahman +1
This letter presents a novel hybrid method that leverages deep learning to exploit the multi-resolution analysis capability of the wavelets, in order to denoise a photoplethysmogra…