The field of 6G communications is rapidly advancing, with a focus on developing technologies that can support emerging applications such as artificial intelligence, virtual reality, and digital twins. One of the key areas of research is the development of efficient power amplifiers (PAs) in the sub-Terahertz (sub-THz) band, which is critical for achieving high transmission speeds and long-range communication. Another area of focus is the integration of machine learning (ML) and artificial intelligence (AI) into 6G networks, including the development of compound AI models and the integration of tinyML and largeML. Cooperative non-orthogonal multiple access (C-NOMA) is also being explored as a fundamental enabler of scalable, efficient, and intelligent communication systems. Noteworthy papers in this area include:

• A Novel Compound AI Model for 6G Networks in 3D Continuum, which introduces a novel tripartite framework for Compound AI systems.
• Integration of TinyML and LargeML: A Survey of 6G and Beyond, which reviews and analyzes the latest research aimed at enabling the integration of TinyML and LargeML models.
• Cooperative NOMA Meets Emerging Technologies: A Survey for Next-Generation Wireless Networks, which presents a unified and forward-looking survey on the integration of C-NOMA with key enabling technologies.