A Survey on AI for 6G: Challenges and Opportunities
Summary: arXiv:2604.02370v1 Announce Type: cross
Abstract: As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future of sixth-generation (6G) networks. By combining AI and Machine Learning (ML), 6G aims to offer high data rates, low latency, and extensive connectivity for applications including smart cities, autonomous systems, holographic telepresence, and the tactile internet. This paper provides a detailed overview of the role of AI in supporting 6G networks.
This survey focuses on key technologies such as:
- Deep Learning
- Reinforcement Learning
- Federated Learning
- Explainable AI
Additionally, it examines how AI integrates with essential network functions and addresses challenges related to:
- Scalability
- Security
- Energy Efficiency
The paper also discusses innovative solutions to these challenges, highlighting perspectives that connect AI-driven analytics to 6G service domains such as:
- Ultra-Reliable Low-Latency Communication (URLLC)
- Enhanced Mobile Broadband (eMBB)
- Massive Machine-Type Communication (mMTC)
- Integrated Sensing and Communication (ISAC)
Moreover, the survey addresses critical concerns regarding:
- Standardization
- Ethics
- Sustainability
By summarizing recent research trends and identifying future directions, this survey offers a valuable reference for researchers and practitioners at the intersection of AI and next-generation wireless communication.
As we look forward to the implementation of 6G technologies, it is essential to recognize the transformative potential of AI. By leveraging AI and its various methodologies, 6G aims to not only enhance user experiences but also to pave the way for new applications that were once deemed impossible. The integration of AI in 6G networks could lead to smarter, more efficient communication systems that adapt to user needs and environmental changes in real-time.
Ultimately, this comprehensive overview serves as a foundation for ongoing discussions and developments in the field of AI-driven wireless communication, emphasizing the importance of addressing the challenges and harnessing the opportunities that lie ahead.