能量信息深度融合的移动网络架构及其技术挑战
摘要
The large-scale deployment of 5G is accompanied by an exponential increase in network energy consumption. At the same time, the country has put forward the “dual-carbon" strategic requirements of “carbon peak" and “carbon neutrality", so it is urgent to achieve energy-saving and emission reduction in mobile networks. However, on the one hand, with the development of technologies such as artificial intelligence, computation-intensive services are expected to see significant growth in future 6G networks. On the other hand, achieving green and low-carbon goals requires improving the utilization of renewable energy, but the instability of green energy supply makes it difficult to guarantee service quality. To address these challenges, this paper proposes a low-carbon network architecture that deeply integrates energy and information services. By building an intelligent control plane that coordinates heterogeneous resources, it fully utilizes and schedules the ubiquitous computing, communication, and energy storage in mobile networks. The goal is to greatly reduce network energy consumption and carbon emissions while ensuring the quality of personalized services in 6G. This paper also discusses the design of scheduling mechanisms under this architecture and possible future research directions.