Outage Probability

Outage probability, the likelihood of a communication system failing to meet performance requirements, is a central concern across diverse networking contexts. Current research focuses on minimizing outage probability through techniques like optimizing relay positions in UAV networks, leveraging intelligent reflecting surfaces (IRS) to enhance signal strength, and employing energy-harvesting strategies in federated learning. Researchers utilize various methods, including reinforcement learning algorithms (e.g., Soft Actor-Critic, Deep Reinforcement Learning), and novel approaches based on Bregman divergence and quantile constraints, to improve system robustness and reliability. These advancements have significant implications for improving the performance and dependability of wireless communication systems and distributed computing architectures.