专题：Wireless Signal Modulation Classification

This cluster of papers focuses on the application of deep learning techniques for wireless signal classification, including modulation classification, channel estimation, RF fingerprinting, and spectrum monitoring in cognitive radios. The papers explore the opportunities and challenges of using deep learning in wireless communications and physical layer signal processing.
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Semantic Communications: Overview, Open Issues, and Future Research Directions

article Full Text OpenAlex 601 FWCI76.8772

Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges

article Full Text OpenAlex 552 FWCI68.9648

Task-Oriented Multi-User Semantic Communications

article Full Text OpenAlex 397 FWCI37.4657

Toward Multi-Functional 6G Wireless Networks: Integrating Sensing, Communication, and Security

article Full Text OpenAlex 355 FWCI30.1917

In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array

article Full Text OpenAlex 338 FWCI27.4214

Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa

article Full Text OpenAlex 325 FWCI40.9364

Radio Machine Learning Dataset Generation with GNU Radio

article Full Text OpenAlex 321 FWCI0

Covert Communications: A Comprehensive Survey

article Full Text OpenAlex 289 FWCI35.0977

Resource Allocation for Text Semantic Communications

article Full Text OpenAlex 272 FWCI34.8307

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

article Full Text OpenAlex 246 FWCI31.7762