Review of Recent Research and Future Scope of Explainable Artificial Intelligence in Wireless Communication Networks
摘要
The concept of explainable artificial intelligence (XAI) has gained significant traction in recent times owing to its capacity to elucidate the decision-making mechanisms of intricate machine learning models. In the field of wireless communication networks, the application of XAI methods can improve the transparency, trust, and understanding of artificial intelligence (AI) algorithms used for various tasks such as interference management, resource allocation, and network optimization. This piece provides a comprehensive analysis of recent research efforts related to XAI in wireless communication networks and examines the potential opportunities in this emerging field.