CSI-Free Symbol Detection for Atomic MIMO Receivers via In-Context Learning

2025/07/05 by Song, Zihang, Peng, Qihao, Xiao, Pei +2 · 3 citations
#FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2507.04040

Abstract

Atomic receivers based on Rydberg vapor cells as sensors of electromagnetic fields offer a promising alternative to conventional radio frequency front-ends. In multi-antenna configurations, the magnitude-only, phase-insensitive measurements produced by atomic receivers pose challenges for traditional detection methods. Existing solutions rely on two-step iterative optimization processes, which suffer from cascaded channel estimation errors and high computational complexity. We propose a channel state information (CSI)-free symbol detection method based on in-context learning (ICL), which directly maps pilot-response pairs to data symbol predictions without explicit channel estimation. Simulation results show that ICL achieves competitive accuracy with higher computational efficiency compared to existing solutions.

Citations

• Noncoherent MIMO Communications: Theoretical Foundation, Design Approaches, and Future Challenges
• Turbo-ICL: In-Context Learning-Based Turbo Equalization
• Channel Estimation for Rydberg Atomic Receivers
• In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models
• Rydberg Atomic Quantum Receivers for Classical Wireless Communication and Sensing
• MIMO Precoding for Rydberg Atomic Receivers
• Cell-Free Multi-User MIMO Equalization via In-Context Learning
• Towards Atomic MIMO Receivers
• In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
• What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
• Attention Is All You Need

Cited by

• In-Context Learning for Deep Joint Source-Channel Coding Over MIMO Channels
• Low-Complexity Rydberg Array Reuse: Modeling and Receiver Design for Sparse Channels
• Rydberg Atomic Quantum Satellites for Enhanced Ground-to-Space Direct Uplink Access

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