Wireless Local Area Network

Wireless Local Area Networks (WLANs) aim to provide efficient and reliable wireless communication within a limited area, focusing on optimizing performance metrics like throughput and latency. Current research heavily emphasizes the use of machine learning, particularly reinforcement learning and graph neural networks, to address challenges such as interference management, efficient resource allocation (including channel assignment and power control), and improved roaming strategies in increasingly dense networks. These advancements are crucial for enhancing the performance and scalability of WLANs, impacting both the design of future wireless systems and the development of novel algorithms for network optimization.