With the increasing demand for ultra-high data rates,ultra-low latency,and highly reliable connectivity,sixth-generation(6G)networks require self-evolution mechanism to adapt to dynamic environments.Drawing inspiration from biological evolution,this study proposes a self-evolution mechanism for 6G network architecture based on endogenous intelligence.The proposed mechanism incorporates the"architecture evolution"paradigm,simulating natural selection and genetic variation processes observed in biological evolution.This enables the network to respond swiftly and accurately to varying demands and application scenarios.Simulation experiments validate the effectiveness of the proposed mechanism in dynamic environments.The results demonstrate that this approach enhances network adaptability and provides theoretical support for the design of 6G network architectures.
维普
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