The sixth-generation (6G) network is envisioned to support growing Internet connections with the requirements of higher transmission rate, higher reliability, lower latency, etc. While conventional methods are hard to meet such demands, the newly emerging technology, artificial intelligent (AI), is a promising way to empower the 6G communication system. In recent years, there has been a growing number of researches on intelligent 6G, including wireless technologies using full spectrum and enlarging coverage. Besides, edge learning, reconfigurable intelligent surface, and cell-free technology have been proposed as significant enabling technologies for intelligent 6G. To promote the research in this area, we have organized a special topic on spectrum, coverage, and enabling technologies for intelligent 6G in SCIENCE CHINA Information Sciences.

Edge learning is a typical emerging research area in the future 6G era, which proposes a stringent demand on latency, reliability, and capacity. One way to accommodate this requirement is to apply integrated sensing, computing, and communication (ISCC) technology. In the contribution entitled “Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G,” Zhu et al. provide a comprehensive overview on ISCC towards AI applications by introducing representative works on the three application scenarios, ie, centralized edge learning, federated edge learning, and edge inference.