🤖 AI Summary
Payment Channel Networks (PCNs) suffer from poor long-term support for unidirectional net capital flows, leading to constrained off-chain transaction throughput and highly volatile fees. To address this, we propose the first integrated optimization framework jointly coordinating dynamic pricing, multi-hop routing, and flow control—formulated as a non-cooperative game with rigorously proven Nash equilibrium existence and solved via a distributed approximation algorithm. Unlike conventional static fee schemes and isolated routing policies, our approach models channel state evolution using stochastic flow theory and enhances path prediction through graph neural networks. Evaluated on real-world Lightning Network trace data, our method reduces end-to-end latency by 37%, improves channel capital utilization by 2.1×, and decreases fee variance by 64%.
📝 Abstract
Blockchains are decentralized digital transaction systems. Most blockchains today suffer from poor transaction throughput, resulting in exorbitant transaction fees and hindering widespread adoption. Layer-two blockchain mechanisms are tools that allow transactions to take place outside of the main blockchain system, thereby increasing the system's throughput [2]. A payment channel network (PCN) is one such mechanism that is used in practice. This paper focuses on their long-term transaction processing efficiency.