Empirical Assessment of Artificial Intelligence in 6G Technology: Applications and Challenges

The rapid evolution of wireless communication systems is driving the development of sixth-generation (6G) technology, which promises to revolutionize autonomous systems by integrating emerging technologies with intelligent decision-making capabilities. This paper presents a broad review of 6G applications powered by artificial intelligence (AI), focusing on their transformative role in enhancing the performance and autonomy of next-generation networks. Emphasizing AI platforms as the core enablers, the study explores key 6G application domains, including autonomous vehicles, unmanned aerial vehicles (UAVs), smart factories, and holographic communications, and assesses their performance through critical parameters such as latency, reliability, scalability, and energy efficiency. To validate the proposed hypotheses, the paper implements and analyzes a range of AI-based path planning algorithms in dynamic 6G environments. The results underscore the synergistic potential of AI and 6G in enabling self-optimization, low-latency, and context-aware communication systems. Ultimately, the paper concludes that 6G, when integrated with advanced AI techniques, is poised to redefine the landscape of autonomous systems, ushering in a new era of smart, efficient, and adaptive wireless networks.