通信学报2026，Vol.47Issue(2)：61-72,12.DOI:10.11959/j.issn.1000-436x.2026015
任务场景驱动的无线通信跨层智能适变方法
Task scenario-driven cross-layer intelligent adaptation approaches for wireless communication
摘要
Abstract
Traditional wireless communication architectures with hierarchical optimization exhibit limited performance and often lack dedicated designs for specific task scenarios.Consequently,task scenario-driven cross-layer joint optimi-zation has become an inevitable trend.However,it faces challenges such as complex coupling of multi-level parameters,large differences in response times at different levels,and severe conflicts in autonomous decision-making among mul-tiple nodes.Therefore,inspired by the fast conditioned reflex and efficient decision-making of the human brain through deep thinking,a brain-like intelligent cross-layer joint decision-making architecture driven by task scenarios was pro-posed.The key technologies of integrated intelligent adaptation for link-level cross-layer decision-making and efficient cognitive adaptation for multi-node collaboration at the network level were systematically expounded.Some key tech-nologies were verified through specific cross-layer optimization cases.关键词
无线通信/跨层优化/类脑决策架构/任务驱动/智能适变Key words
wireless communication/cross-layer optimization/brain-like decision architecture/task-driven/intelligent ad-aptation分类
信息技术与安全科学引用本文复制引用
钟天尧,姚欢,冯智斌,郑学强,徐煜华,徐逸凡,陈瑾..任务场景驱动的无线通信跨层智能适变方法[J].通信学报,2026,47(2):61-72,12.基金项目
国家自然科学基金联合基金资助项目(No.U22B2002) （No.U22B2002）
江苏省前沿引领技术基础研究专项基金资助项目(No.BK20212001) （No.BK20212001）
国家自然科学基金资助项目(No.62401625,No.62501641) （No.62401625,No.62501641）
江苏省青年基金资助项目(No.BK20231027) The Joint Funds of the National Natural Science Foundation of China(No.U22B2002),Jiangsu Province Special Fund for Leading-edge Technology Basic Research(No.BK20212001),The National Natural Science Foundation of China(No.62401625,No.62501641),Jiangsu Province Science Foundation for Youths(No.BK20231027) （No.BK20231027）
