Deep learning meets wireless network optimization: Identify critical links
With the superior capability of discovering intricate structure of large data sets, deep learning
has been widely applied in various areas including wireless networking. While existing deep …
has been widely applied in various areas including wireless networking. While existing deep …
The rfml ecosystem: A look at the unique challenges of applying deep learning to radio frequency applications
While deep machine learning technologies are now pervasive in state-of-the-art image
recognition and natural language processing applications, only in recent years have these …
recognition and natural language processing applications, only in recent years have these …
智能无线通信技术研究概况
梁应敞， 谭俊杰 - 通信学报, 2020 - infocomm-journal.com
近年来, 人工智能技术已被应用于无线通信领域, 以解决传统无线通信技术面对信息爆炸和万物
互联等新发展趋势所遇到的瓶颈问题. 首先介绍深度学习, 深度强化学习和联邦学习三类具有 …
互联等新发展趋势所遇到的瓶颈问题. 首先介绍深度学习, 深度强化学习和联邦学习三类具有 …
[PDF][PDF] 基于深度学习的物理层无线通信技术: 机遇与挑战
桂冠， 王禹， 黄浩 - Journal on Communication/Tongxin …, 2019 - infocomm-journal.com
对无线通信系统的高可靠性与超高容量需求促进了第五代移动通信(5G) 的发展, 然而,
随着通信系统的日益复杂, 现有的物理层无线通信技术难以满足这些高的性能需求. 目前 …
随着通信系统的日益复杂, 现有的物理层无线通信技术难以满足这些高的性能需求. 目前 …