机译:无监督的基于学习的联合主动和被动波束成形设计,可重新配置智能表面有助于无线网络
Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310007 Peoples R China|Zhejiang Univ Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310007 Peoples R China;
Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310007 Peoples R China|Zhejiang Univ Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310007 Peoples R China;
Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310007 Peoples R China|Zhejiang Univ Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310007 Peoples R China;
Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310007 Peoples R China|Zhejiang Univ Zhejiang Prov Key Lab Informat Proc Commun & Netw Hangzhou 310007 Peoples R China;
Array signal processing; Optimization; Unsupervised learning; Prediction algorithms; Simulation; Couplings; Training; Reconfigurable intelligent surface; joint optimization; passive beamforming; deep learning; unsupervised learning;
机译:多簇杂项NOMA可重构智能表面辅助下行链路通信网络联合波束形成设计
机译:通过主动和被动波束成形的智能反射面增强无线网络
机译:可重新配置智能表面辅助多用户MIMO系统的被动波束形成和信息传输设计
机译:智能反射表面增强无线网络:联合主动和被动波束形成设计
机译:无线信号网络:地下表征的概念验证和带有可重配置无线电的系统设计。
机译:具有SWIPT的无线多跳传感器网络中的联合源和中继波束成形设计
机译:双向继电器网络联合波束成形和可重构智能表面设计