Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
HEBE Optimized Mob‐LSTM for Channel Estimation in RIS‐Assisted mmWave MIMO System
HEBE Optimized Mob‐LSTM for Channel Estimation in RIS‐Assisted mmWave MIMO System
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
N. Durga Naga Lakshmi
,
B. Vijaya Lakshmi
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
International Journal of Communication Systems
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/dac.6071
Similar Items
RIS‐Aided MISO Channel Estimation Using Fuzzy Embedded Recurrent Neural Network and Binary Kepler Optimization Algorithm
by: B. Ramesh, et al.
Published: (2025)
Improving Beam Training and Tracking With Oversampled‐CNN‐BiLSTM in mmWave Communication
by: Sheetal Pawar, et al.
Published: (2025)
Circularly Polarized MIMO Antenna With Asymmetries in Circular Patch for mmWave Applications
by: Deepak Solanki, et al.
Published: (2025)
Hybrid Quantum Deep Convolutional Generative Adversarial Networks for Channel Prediction and Performance Enhancement in Large‐Scale MIMO‐OFDM Systems
by: P. Vijayakumari, et al.
Published: (2025)
Intelligent QoS‐Driven Ad Hoc On‐Demand Distance Vector Routing for 5G MANET Using Physically Recurrent Neural Network
by: S. Sankar Ganesh, et al.
Published: (2025)