mmWave Network

Millimeter-wave (mmWave) networks are crucial for next-generation communication systems, aiming to address spectrum scarcity and increase data rates by utilizing higher frequency bands. Current research focuses on optimizing energy efficiency through techniques like sleep mode optimization and intelligent beam management, often employing reinforcement learning algorithms (e.g., contextual multi-armed bandits, deep Q-networks) and federated learning for distributed training and privacy preservation. These advancements are vital for enabling the practical deployment of dense mmWave networks, improving reliability through proactive blockage prediction (e.g., using radar data), and ultimately enhancing the quality of service for mobile users.