Self-Balancing Semi-Hierarchical Payment Channel Networks for Central Bank Digital Currencies.

Marco Benedetti, Francesco De Sclavis,Marco Favorito,Giuseppe Galano, Sara Giammusso, Antonio Muci,Matteo Nardelli

Annual IEEE International Conference on Pervasive Computing and Communications(2024)

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摘要
We introduce a family of PCNs (Payment Channel Networks) characterized by a semi-hierarchical topology and a custom set of channel rebalancing strategies. This family exhibits two interesting benefits, if used as a platform for large-scale, instant, retail payment systems, such as CBDCs (Central Bank Digital Currencies): Technically, the solution offers state-of-the-art guarantees of fault-tolerance and integrity, while providing a latency and throughput comparable to centralized systems; from a business perspective, the solution fits the 3-tier architecture of the current banking ecosystem (central bank / commercial banks / retail users), assigning a pivotal role to the members of each tier. Furthermore, the cryptographic privacy of payments— typical of PCNs such as the public Lightning Network—is largely (possibly fully) retained. We simulate a scaled-down version of a hypothetical European CBDC, exploring the trade-offs among liquidity locked by market operators, payment success rate, throughput, latency, and load on the underpinning blockchain.
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关键词
Central Bank,Digital Currency,Payment Channels,Throughput,Commercial Banks,Payment System,Business Perspective,Unit Time,Point-of-sale,Banking System,Waterfall,Constant Load,Eurozone,Channel Capacity,European Central Bank,Quantity Distribution,Preimage,Bitcoin,Small-scale Model,Monetary System
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