Accuracy-Security Tradeoff with Balanced Aggregation and Artificial Noise for Wireless Federated Learning
In federated learning (FL), a number of devices train their local models and upload the corresponding parameters or gradients to the base […]
Composite Preambles Based on Differential Phase Rotations for Grant-free Random Access Systems
With the advantages of low signaling overhead and latency, grant-free random access (GFRA) becomes a promising technology for supporting massive machine-type communications […]
Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems
Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. […]
Machine Learning-Aided Piece-Wise Modeling Technique of Power Amplifier for Digital Predistortion
We propose a new power amplifier (PA) behavioral modeling approach, to characterize and compensate for the signal quality degrading effects induced by […]
Multi-User Data Detection in Massive MIMO with 1-Bit ADCS
We provide new analytical results on the uplink data detection in massive multiple-input multiple-output systems with 1-bit analog-to-digital converters. The statistical properties […]
Joint Estimation of Clustered user Activity and Correlated Channels with Unknown Covariance in mMTC
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a clustered user activity pattern. In particular, we […]
Formation mechanism of mirror twin grain boundaries in molecular beam epitaxy grown monolayer WSe₂–MoSe₂ lateral heterojunctions
Mirror twin grain boundary (MTB) defects, being a special type of high-symmetry one-dimensional (1D) defects in two-dimensional atomically thin transition metal dichalcogenides […]
Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map
Reconfigurable intelligent surface (RIS)-aided communication is a promising technology for 6G systems to reconfigure the propagation environment proactively. However, it requires efficient […]
Estimating Stress in Online Meetings by Remote Physiological Signal and Behavioral Features
Work stress impacts people’s daily lives. Their well-being can be improved if the stress is monitored and addressed in time. Attaching physiological […]
A novel combinatorial multi-armed bandit game to identify online the changing top-K flows in software-defined networks
Identifying the top-K flows that require much more bandwidth resources in a large-scale Software-Defined Network (SDN) is essential for many network management […]