Space–terrestrial integrated networks(STIN)require a trustworthy and auditable environment for multi-party spectrum sharing under dynamic and heterogeneous conditions.Blockchain,as a decentralized ledger,exhibits pro...Space–terrestrial integrated networks(STIN)require a trustworthy and auditable environment for multi-party spectrum sharing under dynamic and heterogeneous conditions.Blockchain,as a decentralized ledger,exhibits promising properties such as transparency and tamper resistance,making it a potential enabler for such scenarios.However,conventional blockchain-based approaches tightly couple strategy execution with transaction consensus,resulting in excessive overhead and poor adaptability to fastchanging spectrum semantics.To address these issues,this paper presents a spectrum-semantics-driven metaconsensus framework built upon a directed acyclic graph(DAG)mainchain architecture.By decoupling policy optimization from on-chain coordination and leveraging semantic representations of spectrum states for meta-level consensus and policy migration,the framework enables agile and scalable spectrum sharing across dynamically clustered network agents.Simulation results verify that the proposed design significantly enhances spectrum utilization and adaptability while maintaining decentralized transparency and auditability in large-scale STIN environments.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 62171020.
文摘Space–terrestrial integrated networks(STIN)require a trustworthy and auditable environment for multi-party spectrum sharing under dynamic and heterogeneous conditions.Blockchain,as a decentralized ledger,exhibits promising properties such as transparency and tamper resistance,making it a potential enabler for such scenarios.However,conventional blockchain-based approaches tightly couple strategy execution with transaction consensus,resulting in excessive overhead and poor adaptability to fastchanging spectrum semantics.To address these issues,this paper presents a spectrum-semantics-driven metaconsensus framework built upon a directed acyclic graph(DAG)mainchain architecture.By decoupling policy optimization from on-chain coordination and leveraging semantic representations of spectrum states for meta-level consensus and policy migration,the framework enables agile and scalable spectrum sharing across dynamically clustered network agents.Simulation results verify that the proposed design significantly enhances spectrum utilization and adaptability while maintaining decentralized transparency and auditability in large-scale STIN environments.
