Medium Access Control

Medium Access Control (MAC) protocols govern how multiple devices share a wireless communication channel, aiming to maximize efficiency and reliability. Current research heavily emphasizes data-driven approaches, employing machine learning techniques like reinforcement learning (including multi-armed bandits and deep reinforcement learning) and neural networks to optimize resource allocation and adapt to dynamic network conditions. This focus stems from the increasing complexity and heterogeneity of modern wireless networks, particularly in IoT and 5G/6G systems, where traditional MAC protocols struggle to maintain optimal performance. Improved MAC protocols will lead to more efficient and reliable wireless communication across a wide range of applications.