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- Title
Fully connected layer‐shared network architecture for massive MIMO CSI feedback.
- Authors
Zhang, Boyuan; Li, Haozhen; Liang, Xin; Gu, Xinyu; Zhang, Lin
- Abstract
In frequency division duplex (FDD) massive multiple‐input multiple‐output (MIMO) system, deep learning‐based channel state information (CSI) feedback approach improves CSI reconstruction accuracy. However, different models need to be trained and stored for different scenarios, which causes huge memory cost, especially at the user equipment (UE) side. In this letter, a fully connected layer‐shared (FCS) feedback architecture is proposed to simplify the feedback network at the UE. As a case study, the FCS architecture is applied on CsiNet and CRNet in the indoor and outdoor scenarios. Experimental results indicate that the network using the FCS architecture is able to achieve comprehensive performance with impressive storage saving.
- Subjects
MIMO systems; FREQUENCY division multiple access; 5G networks; DEEP learning; WIRELESS communications
- Publication
Electronics Letters (Wiley-Blackwell), 2022, Vol 58, Issue 6, p255
- ISSN
0013-5194
- Publication type
Academic Journal
- DOI
10.1049/ell2.12418