Random Access

Random access, the ability for numerous devices to independently request network access, is crucial for efficient communication in diverse systems, from 5G networks to large language models. Current research focuses on improving random access performance through machine learning techniques, particularly deep learning architectures like convolutional neural networks and recurrent neural networks, and reinforcement learning algorithms to optimize resource allocation and mitigate interference or collisions. These advancements are vital for enhancing the reliability and scalability of wireless communication networks, improving the efficiency of large-scale machine learning, and enabling new applications in areas like the Internet of Things and satellite communication.