Machine Learning-based Methods for Reconfigurable Antenna Mode Selection in MIMO Systems
Y Abdollahian, E Tohidi, M Kasparick, L Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
MIMO technology has enabled spatial multiple access and has provided a higher system
spectral efficiency (SE). However, this technology has some drawbacks, such as the high …
spectral efficiency (SE). However, this technology has some drawbacks, such as the high …
ResNet-Based Top-N Transmit Antenna Selection Algorithm for Massive MIMO Systems
Y Zheng, Y Zhang, J Zhang, L Xia… - 2022 IEEE 95th …, 2022 - ieeexplore.ieee.org
Antenna selection has attracted more and more attention in massive multiple input multiple
output (MIMO) systems to balance the performance and computational complexity. In this …
output (MIMO) systems to balance the performance and computational complexity. In this …
[PDF][PDF] Trends of Microwave Devices Design Based on Artificial Neural Networks: A Review. Electronics 2022, 11, 2360
A Katkevicius, D Plonis, R Damaševicius… - 2022 - academia.edu
The usage of techniques of the artificial neural networks (ANNs) in the field of microwave
devices has recently increased. The advantages of ANNs in comparison with traditional full …
devices has recently increased. The advantages of ANNs in comparison with traditional full …
시변채널UAV 통신을위한합성곱신경망기반송신안테나선택기법
김재홍， 김현주， 정의림， 정진곤 - 대한전자공학회학술대회, 2023 - dbpia.co.kr
This study proposes a convolutional neural network (CNN)-based transmit antenna
selection (TAS) method. The designed CNN predicts the future signal power of each …
selection (TAS) method. The designed CNN predicts the future signal power of each …