Wireless Node

Wireless nodes are fundamental components of modern communication networks, with research focusing on optimizing their performance and connectivity in diverse applications. Current efforts concentrate on improving resource allocation (e.g., spectrum, energy, bandwidth) through machine learning techniques like reinforcement learning and federated learning, often employing algorithms such as deep Q-networks and generative adversarial networks to address challenges like beam management and routing in complex network topologies. These advancements aim to enhance network efficiency, reliability, and security, impacting areas such as IoT, 5G/6G networks, and mobile ad hoc networks. The ultimate goal is to create more robust, scalable, and intelligent wireless systems.