中文标题#
面向通信 - 感知 - 计算生态系统的自主数字种群
英文标题#
Toward Autonomous Digital Populations for Communication-Sensing-Computation Ecosystem
中文摘要#
未来通信网络有望实现通信、感知和计算的深度融合，形成紧密耦合且自主运行的基础设施系统。 然而，当前对集中式控制、静态设计和人工干预的依赖仍然限制了网络功能和应用的多维演进，限制了在大规模、分层和复杂环境中的适应性和弹性。 为解决这些挑战，本文提出了一种受自然启发的架构框架，利用数字孪生技术将边缘的联网设备组织成功能性的数字种群，同时通过云端多种群集成实现可演化数字生态系统的出现。 我们认为，这种结合工程方法与社会技术洞察的框架，为构建具有动态协调、分布式决策、持续适应和进化能力的下一代通信网络奠定了理论基础。
英文摘要#
Future communication networks are expected to achieve deep integration of communication, sensing, and computation, forming a tightly coupled and autonomously operating infrastructure system. However, current reliance on centralized control, static design, and human intervention continues to constrain the multidimensional evolution of network functions and applications, limiting adaptability and resilience in large-scale, layered, and complex environments. To address these challenges, this paper proposes a nature-inspired architectural framework that leverages digital twin technology to organize connected devices at the edge into functional digital populations, while enabling the emergence of an evolvable digital ecosystem through multi-population integration at the cloud. We believe that this framework, which combines engineering methodologies with sociotechnical insights, lays the theoretical foundation for building next-generation communication networks with dynamic coordination, distributed decision-making, continuous adaptation, and evolutionary capabilities.
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