面向6G 移动通信的可重构智能反射表面技术研究综述.
虞湘宾， 于凯， 钱盼盼 - Journal of Nanjing University of …, 2023 - search.ebscohost.com
伴随移动通信技术的迅猛发展, 复杂多变环境和高能耗将是当前以及未来移动通信面临的主要
问题, 低能耗, 高效通信环境自适应调整将是移动通信技术发展的必经之路 …
问题, 低能耗, 高效通信环境自适应调整将是移动通信技术发展的必经之路 …
Element Grouping Faceted Fully Connected Network Based on RIS
S Hou, S Fang, Q Zeng… - Journal of …, 2024 - dc-china-simulation …
In view of the over-fitting problem that caused by multiple parameters and high memory
usage of the full connection layer of neural network in training, a RIS-based element …
usage of the full connection layer of neural network in training, a RIS-based element …
基于RIS 的元素分组面状全连接网络
侯顺虎， 方胜良， 曾庆尧， 王孟涛 - 系统仿真学报, 2024 - china-simulation.com
针对神经网络全连接层在训练中参数量多, 所占内存多, 易产生过拟合问题, 从智能超表面(
reconfigurable intelligence surface, RIS) 结构特征出发, 提出了一种基于RIS …
reconfigurable intelligence surface, RIS) 结构特征出发, 提出了一种基于RIS …
Overview of Holographic Multiple-Input Multiple-Output Technology for 6G Wireless Networks
X CHEN, J WEI, C HUANG - 电子与信息学报, 2022 - jeit.ac.cn
Abstract The future Sixth-Generation (6G) wireless communication systems are required to
support ultra-large-scale user demands, with increasing demands for spectrum efficiency …
support ultra-large-scale user demands, with increasing demands for spectrum efficiency …
[PDF][PDF] 面向6G 无线网络的全息多输入多输出技术综述
陈晓明， 魏建川， 黄崇文 - Journal of Electronics & Information Technology, 2022 - jeit.ac.cn
面向6G无线网络的全息多输入多输出技术综述Overview of Holographic Multiple-Input
Multiple-Output Technology fo Page 1 面向6G无线网络的全息多输入多输出技术综述 陈晓明*① …
Multiple-Output Technology fo Page 1 面向6G无线网络的全息多输入多输出技术综述 陈晓明*① …