【摘要】 随着对超高速率、超低时延、超可靠连接需求的增长，6G网络需通过形态自演进机制满足动态环境需求。借鉴了生物种群进化思想，提出了一种基于内生智能的6G网络形态自演进机制，考虑“形态演进”范式，通过模拟生物演进中自然选择与遗传变异过程，使网络能对不同网络需求和应用场景快速、精准地作出响应。通过仿真实验，验证了6G网络形态自演进在动态环境下的有效性。结果表明，该机制能够提高网络适应性，为6G网络形态设计提供了理论支持。更多还原

【Abstract】 With the increasing demand for ultra-high data rates, ultra-low latency, and highly reliable connectivity, sixthgeneration(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.更多还原