Multi Cell

Multi-cell network research focuses on optimizing resource allocation and interference management in wireless communication systems with multiple base stations. Current efforts leverage machine learning, particularly deep reinforcement learning and graph neural networks, to improve energy efficiency, sum-rate performance, and quality of service, often incorporating techniques like multi-agent systems and transfer learning for enhanced scalability and adaptability. These advancements are crucial for improving the performance and efficiency of 5G and beyond networks, enabling better support for diverse applications and a wider range of user experiences.