Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
机构 * Dept. of Electrical and Computer Engineering, University of Southern California(电气与计算机工程系,南加州大学)
高校专区
机构 * Dept. of Electrical and Computer Engineering, University of Southern California(电气与计算机工程系,南加州大学)
机构 * Department of Mathematics, University of Southern California(美国南加州大学数学系) ; Department of Statistics and Applied Probability, University of California(加州大学圣塔芭芭拉分校统计与应用概率系) ; Department of Management of Science & Engineering, Stanford University(斯坦福大学科学与工程管理系)
Comments 31 pages
机构 * Nokia Technologies(诺基亚技术) ; Department of Computer Science, University of Southern California(南加州大学计算机科学系)
机构 * University of Southern California(南加州大学) ; University of California, Irvine(加州大学伊藤分校)
Comments Accepted at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)