MultiNet: deep unsupervised power control for industrial MU-MIMO networks
This paper presents Multinet, an unsupervised deep learning (DL) approach for power allocation in industrial environments and IIoT applications. Multinet extends the previously proposed singular value decomposition network (SVDNet), which utilizes supervised DL to approximate the performance of the...
Saved in:
Main Authors: | Maiti, Ritabrata, Madhukumar, A. S., Tan, Ernest Zheng Hui |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175403 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Applying Deep Learning for Phase-Array Antenna Design
by: Zhang, Peng Jr
Published: (2023) -
Unsupervised image layout extraction
by: Liu D., et al.
Published: (2018) -
DEEP NEURAL NETWORKS
by: BENJAMIN FRANCK CHRISTOPHE SCELLIER
Published: (2015) -
Delving into inter-image invariance for unsupervised visual representations
by: Xie, Jiahao, et al.
Published: (2023) -
NEW METHODS FOR OMICS AND PHARMACEUTICAL DEEP LEARNING
by: SHEN WANXIANG
Published: (2022)