Research on Multidimensional Communication Resource Cooperative Optimization Technology for Agent-Native Networks

Abstract

This paper focuses on agent-native networks and constructs a layered, integrated full-stack architecture to address challenges such as protocol fragmentation, semantic gaps, and resource scheduling imbalances. Through intent-driven and multiagent collaborative decision-making, cross-layer resource optimization and network autonomy across endpoints, networks, and the cloud are achieved. Combined with a deterministic alloptical foundation and adaptive routing technology, determinism in high-frequency interactions and high-dynamic network stability are ensured, constructing an efficient, green, and elastic resource collaboration ecosystem. This provides key theoretical support and technical pathways for network evolution.