7 papers · 1 filter
Dualformer: Efficient Feature Extractor for Complex-valued Blind Communication Signal Analysis
Yurui Zhao, Xiang Wang, Jingreng Lei +3
Designing effective feature extractors is critical for blind signal analysis tasks such as automatic modulation recognition (AMR), signal scheme recognition (SSR), and \color{black…
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…
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
Siyuan Li, Shikai Fang, Lei Cheng +4
Functional tensor decomposition can analyze multi-dimensional data with real-valued indices, paving the path for applications in machine learning and signal processing. A limitatio…
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…
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…
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
Wei-Bin Kou, Qingfeng Lin, Ming Tang +4
Street Scene Semantic Understanding (denoted as TriSU) is a complex task for autonomous driving (AD). However, inference model trained from data in a particular geographical region…