Emerging Innovations in Sequential, Active, and Reinforcement Learning for Physical Layer Communications

Prazo para submissão: 20 April 2024

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Physical Communication

Link: https://www.sciencedirect.com/special-issue/274207/emerging-innovations-in-sequential-active-and-reinforcement-learning-for-physical-layer-communications

Detalhes:

The physical layer of communication systems involves complex signal processing and learning algorithms to help adapt to changing signal environments. However, in most communication systems, humans carefully crafted these modules and are not easily changed once deployed. The field of machine learning offers great potential to create intelligent signal processing and learning algorithms that can handle a wide range of signal environments and adapt based on feedback. Bandwidth scarcity has led to t