This paper proposes a decentralized automatic modulation classification (DecentAMC)
method using light network and model aggregation. Specifically, the lightweight network is …

Accurate acquisition of CSI (channel state information) is the key to the performance of
massive MIMO. In current communication systems, when the reciprocity of uplink and …

Utilization of spatial multiplexing and diversity gain in massive multiple-input multiple-output
(MIMO), requires availability of the downlink channel state information (CSI) at the base …

信道状态信息对于大规模多输入多输出(Multi-Input Multi-Output, MIMO) 系统获得高信道容量和
能量效率是十分重要的. 频分双工系统因为上下行信道缺少互易性, 所以需要用户将下行信道 …

Future wireless communications need to handle a large amount of wireless data, recognize
and dynamically adapt to complex environments, and satisfy various requirements, such as …

In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO)
systems, downlink channel state information (CSI) needs to be sent back to the base station …

Deep Learning (DL)-based channel state information (CSI) feedback is a promising
technique for the transmitter to accurately acquire the CSI of massive multiple-input multiple …

Deep learning-based (DL-based) channel state information (CSI) feedback for a Massive
multiple-input multiple-output (MIMO) system has proved to be a creative and efficient …

Channel state information (CSI) is an essential aspect of the frequency division duplex
(FDD) massive multiple-input multiple-output (MIMO) system since there is no reciprocity …

In order to enhance the performance of intelligent image recognition, this study optimizes the
image recognition model through lightweight convolutional neural networks (CNNs) and …