The field of 5G and 6G networks is rapidly evolving, with a focus on improving performance, reducing latency, and increasing reliability. Researchers are exploring new approaches to resource allocation, network management, and interference detection to support emerging applications such as virtual reality, autonomous vehicles, and immersive communications. Notable advancements include the development of digital twin-enabled frameworks, AI-powered optimization techniques, and real-time interference detection methods. These innovations have the potential to significantly enhance the capabilities of next-generation wireless networks. Noteworthy papers include:

• AI Enabled 6G for Semantic Metaverse: Prospects, Challenges and Solutions for Future Wireless VR, which presents a novel approach to low-rank channel optimization using nonlinear transceivers and deep reinforcement learning.
• Digital Twin Channel-Enabled Online Resource Allocation for 6G, which proposes a digital twin channel-enabled online optimization framework for resource allocation in 6G networks.
• EdgeAgentX-DT, which integrates digital twins and generative AI for resilient edge intelligence in tactical networks.
• InterfO-RAN, which introduces a real-time programmable solution for in-band cellular uplink interference detection using a Convolutional Neural Network.