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Design and Implementation of Endogenous Intelligence-based Multi-Access Edge Computing

With the continuous development of multi-access edge computing (MEC) and artificial intelligence (AI), a new paradigm for 6G, namely endogenous intelligence (EI)-based MEC is created. Hence, a novel EI-based MEC scheme is proposed in this paper. Firstly, we present an EI-based MEC architecture, which deepens EI into MEC architecture. Secondly, referring to service-based architecture (SBA) for 5G core network (5GC), we decouple the edge intelligent services into multiple network functions (NFs) to enhance the flexibility of EI-based MEC architecture. Thirdly, for specific service types, we design MEC templates and instantiation schemes to complete the reconfiguration of EI-based MEC. Finally, we establish a testbed, and experimental results demonstrate that our proposed EI-based MEC can provide users with more reliable and agile edge intelligent services and effectively improve the Quality of Service (QoS).