Vorticity Dissipation Based Routing: A Fluid-Kinetic Framework for Loop-Free Transport in Ultra-Dense Networks

📅 2026-08-20
📈 Citations: 0
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🤖 AI Summary
本文提出基于涡度耗散的路由方法,利用流体动力学框架解决超密集网络中的环路问题,提高无线资源效率。
📝 Abstract
Discrete routing protocols in ultra-dense wireless networks are constrained by signaling overhead and transient routing loops that degrade radio-resource efficiency. While continuum modeling provides a scalable alternative, existing scalar density approaches lack the vector geometric structure required to characterize these topological anomalies. This paper introduces a fluid-kinetic framework, vorticity dissipation-based routing (VDR), utilizing the Helmholtz-Hodge decomposition. We demonstrate that the macroscopic traffic flux can be orthogonally decoupled into a demand-driven irrotational component and a loop-induced solenoidal component representing routing vorticity. Building on this insight, we define network vorticity as a macroscopic metric to quantify topological inefficiency. Routing optimization is formulated as a gradient flow on an enstrophy functional, yielding a vorticity dissipation equation as the governing dynamic law. Lyapunov stability analysis proves that this mechanism ensures the monotonic decay of global enstrophy toward an asymptotically loop-free equilibrium. Numerical results validate that VDR suppresses realized forwarding loops, reduces end-to-end delay, maintains robust packet delivery, and exhibits near-linear scaling under fixed-area densification while explicitly accounting for the grid-dependent Poisson-solver cost.
Problem

Research questions and friction points this paper is trying to address.

ultra-dense networks
routing loops
signaling overhead
topological anomalies
radio-resource efficiency
Innovation

Methods, ideas, or system contributions that make the work stand out.

vorticity dissipation-based routing (VDR)
Helmholtz-Hodge decomposition
gradient flow optimization
loop-free equilibrium
topological inefficiency
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Wen-Yu Dong
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
Weiwei Jiang
Weiwei Jiang
Beijing University of Posts and Telecommunications
Artificial IntelligenceSignal ProcessingData AnalysisMachine LearningWireless Communication
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Song Zhao
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
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Rui-Si Han
Cloud Network Operating System R&D Center, China Telecom, Beijing 102209, China
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Qi Bi
Future Technology Research Center, China Telecom Research Institute, Beijing 102209, China
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Sheng Chen
School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K., and also with Faculty of Information Science and Technology, Ocean University of China, Qingdao 266100, China