Advancing 6G: Survey for Explainable AI on Communications and Network Slicing

The unprecedented advancement of Artificial Intelligence (AI) has positioned Explainable AI (XAI) as a critical enabler in addressing the complexities of next-generation wireless communications. With the evolution of the 6G networks, characterized by ultra-low latency, massive data rates, and intricate network structures, the need for transparency, interpretability, and fairness in AI-driven decision-making has become more urgent than ever. This survey provides a comprehensive review of the current state and future potential of XAI in communications, with a focus on network slicing, a fundamental technology for resource management in 6G. By systematically categorizing XAI methodologies–ranging from…

• TB
  Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

  Award: 5239903
• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/X525856/1, EP/Y037421/1, EP/Y037421/1, EP/X040518/1