SEMANTIC COMMUNICATION-ENABLED MULTI-ACCESS EDGE COMPUTING NETWORK RESOURCE OPTIMIZATION IN THE 6G ERA

Abstract

In semantic communication, artificial intelligence (AI) technologies are used to comprehend and anticipate dynamic fluctuations within multi-access edge computing (MEC) networks, thereby improving the utilization of wireless communication network resources. This communication paradigm shift is expected to address numerous intricate edge resource optimization challenges in the 6th-generation mobile network (6G) era. Within the forthcoming space–air–ground–sea integrated network framework, semantic data optimization and dynamic resource allocation are poised to enable cloud–edge–terminal collaborative task processing to be ultra-low latency, ultra-high reliability, and ultra-efficient. The eff..