6 papers
A General Deep Learning Framework for Wireless Resource Allocation under Discrete Constraints
Yikun Wang, Yang Li, Yik-Chung Wu +1
While deep learning (DL)-based methods have achieved remarkable success in continuous wireless resource allocation, efficient solutions for problems involving discrete variables re…
Learning to Jointly Optimize Antenna Positioning and Beamforming for Movable Antenna-Aided Systems
Yikun Wang, Yang Li, Zeyi Ren +3
The recently emerged movable antenna (MA) and fluid antenna technologies offer promising solutions to enhance the spatial degrees of freedom in wireless systems by dynamically adju…
Distributed Activity Detection for Cell-Free Hybrid Near-Far Field Communications
Jingreng Lei, Yang Li, Zeyi Ren +4
A great amount of endeavor has recently been devoted to activity detection for massive machine-type communications in cell-free massive MIMO. However, in practice, as the number of…
Mixture of Experts-augmented Deep Unfolding for Activity Detection in IRS-aided Systems
Zeyi Ren, Qingfeng Lin, Jingreng Lei +2
In the realm of activity detection for massive machine-type communications, intelligent reflecting surfaces (IRS) have shown significant potential in enhancing coverage for devices…
A General Optimization Framework for Tackling Distance Constraints in Movable Antenna-Aided Systems
Yichen Jin, Qingfeng Lin, Yang Li +4
The recently emerged movable antenna (MA) shows great promise in leveraging spatial degrees of freedom to enhance the performance of wireless systems. However, resource allocation…
Unveiling the Power of Complex-Valued Transformers in Wireless Communications
Yang Leng, Qingfeng Lin, Long-Yin Yung +3
Utilizing complex-valued neural networks (CVNNs) in wireless communication tasks has received growing attention for their ability to provide natural and effective representation of…