6 papers
Balancing Latency and Model Accuracy for Fluid Antenna-Assisted LM-Embedded MIMO Network
Yichen Jin, Zongze Li, Zeyi Ren +2
This paper addresses the challenge of large model (LM)-embedded wireless network for handling the trade-off problem of model accuracy and network latency. To guarantee a high-quali…
Deep Unfolding with Kernel-based Quantization in MIMO Detection
Zeyi Ren, Jingreng Lei, Yichen Jin +5
The development of edge computing places critical demands on energy-efficient model deployment for multiple-input multiple-output (MIMO) detection tasks. Deploying deep unfolding m…
Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
Bingyang Cheng, Zhongtao Chen, Yichen Jin +4
While CANDECOMP/PARAFAC (CP) decomposition (CPD) is fundamental for tensor reconstruction, Bayesian CPD often scales poorly because variational updates require repeated matrix inve…
iMacHSR: Intermediate Multi-Access Heterogeneous Supervision and Regularization Scheme Toward Architecture-Agnostic Training
Wei-Bin Kou, Guangxu Zhu, Yichen Jin +4
While deep supervision is a powerful training strategy by supervising intermediate layers with auxiliary losses, it faces three underexplored problems: (I) Existing deep supervisio…
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…
Handling Distance Constraint in Movable Antenna Aided Systems: A General Optimization Framework
Yichen Jin, Qingfeng Lin, Yang Li +1
The movable antenna (MA) is a promising technology to exploit more spatial degrees of freedom for enhancing wireless system performance. However, the MA-aided system introduces the…