机译:转移学习和基于元学习的快速下行链路波束形成自适应
Loughborough Univ Wolfson Sch Mech Elect & Mfg Engn Loughborough LE11 3TU Leics England;
Loughborough Univ Wolfson Sch Mech Elect & Mfg Engn Loughborough LE11 3TU Leics England;
UCL Dept Elect & Elect Engn London WC1E 6BT England;
Univ Luxembourg Ctr Secur Reliabil & Trust SnT L-1359 Luxembourg Luxembourg;
Shenzhen Res Inst Big Data Shenzhen 518172 Peoples R China|Chinese Univ Hong Kong Sch Sci & Engn Shenzhen 518172 Peoples R China;
Array signal processing; Wireless communication; Training; Adaptation models; Task analysis; Resource management; Uplink; Deep transfer learning; meta-learning; online learning; beamforming; MISO; SINR balancing;
机译:基于深度传输学习的FDD大型MIMO系统的下行链路通道预测
机译:通过深度学习的快速特异性吸收速率意识到下行链路SWIPT
机译:元学习,以使分类器快速适应签名验证系统的新用户
机译:MISO下行链路的META学习的波束形成设计
机译:多用户大规模MIMO无线通信系统的中断性能分析和下行链路波束成形设计
机译:非线性能量收集模型下具有无线信息和功率传输功能的安全V2X下行链路系统的稳健波束成形设计
机译:Meta-SSD:在Meta-Learning中快速适应几次对象检测