Cover Image

Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Li, Wang, Peng, Yang, Jing, Shen, Cong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Information Theory Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decision Feedback In-Context Learning for Wireless Symbol Detection
by: Fan, Li, et al.
Published: (2025)

Decision Feedback In-Context Symbol Detection over Block-Fading Channels
by: Fan, Li, et al.
Published: (2024)

Average Reward Reinforcement Learning for Wireless Radio Resource Management
by: Yang, Kun, et al.
Published: (2025)

Personalized Federated Learning with Attention-based Client Selection
by: Chen, Zihan, et al.
Published: (2023)

Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels
by: Vahapoglu, Cemil, et al.
Published: (2025)

Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
by: Karanov, Boris, et al.
Published: (2024)

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
by: Schmid, Luca, et al.
Published: (2024)

An Autoencoder-Based Constellation Design for AirComp in Wireless Federated Learning
by: Mu, Yujia, et al.
Published: (2024)

Soft Graph Transformer for MIMO Detection
by: Hong, Jiadong, et al.
Published: (2025)

Soft Graph Diffusion Transformer for MIMO Detection
by: Jiang, Nan, et al.
Published: (2026)

Wireless Power Control Based on Large Language Models
by: Wang, Jiacheng, et al.
Published: (2026)

On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)
by: Yang, Zhaohui, et al.
Published: (2024)

Dim and Small Target Detection for Drone Broadcast Frames Based on Time-Frequency Analysis
by: Li, Jie, et al.
Published: (2025)

Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
by: Yue, Yiyang, et al.
Published: (2026)

Biased Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels
by: Liang, Guangming, et al.
Published: (2025)

Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems
by: Sun, Gangle, et al.
Published: (2025)

Graph Signal Diffusion Models for Wireless Resource Allocation
by: Uslu, Yigit Berkay, et al.
Published: (2026)

RIS-Enabled Smart Wireless Environments: Fundamentals and Distributed Optimization
by: Alexandropoulos, George C., et al.
Published: (2025)

An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications
by: Pallewela, Rumeshika, et al.
Published: (2024)

On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
by: Chen, Chin-Hung, et al.
Published: (2024)

Beyond Point Estimates: Likelihood-Based Full-Posterior Wireless Localization
by: Lei, Haozhe, et al.
Published: (2025)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
by: Guo, Mingzhao, et al.
Published: (2024)

Semantic Communication for Cooperative Multi-Task Processing over Wireless Networks
by: Razlighi, Ahmad Halimi, et al.
Published: (2024)

Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness
by: Batista, Murilo, et al.
Published: (2026)

Generating High Dimensional User-Specific Wireless Channels using Diffusion Models
by: Lee, Taekyun, et al.
Published: (2024)

Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
by: Qu, Linping, et al.
Published: (2024)

Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning
by: Fang, Wenzhi, et al.
Published: (2023)

Data-Driven Deep MIMO Detection:Network Architectures and Generalization Analysis
by: Yi, Yongwei, et al.
Published: (2026)

Multi-level Reliability Interface for Semantic Communications over Wireless Networks
by: Tung, Tze-Yang, et al.
Published: (2024)

Federated Split Learning with Improved Communication and Storage Efficiency
by: Mu, Yujia, et al.
Published: (2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)

Application of Transformers for Nonlinear Channel Compensation in Optical Systems
by: Hamgini, Behnam Behinaein, et al.
Published: (2023)

CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
by: Zeng, Ye, et al.
Published: (2024)

Transformer-Based Rate Prediction for Multi-Band Cellular Handsets
by: Chen, Ruibin, et al.
Published: (2025)

Wireless Human-Machine Collaboration in Industry 5.0
by: Pang, Gaoyang, et al.
Published: (2024)

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
by: Lei, Eric, et al.
Published: (2024)

AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
by: Jiang, Peiwen, et al.
Published: (2018)

Cross-Attention Message-Passing Transformers for Code-Agnostic Decoding in 6G Networks
by: Park, Seong-Joon, et al.
Published: (2025)

Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
by: Dhara, Prasenjit, et al.
Published: (2026)