Supervised ML Solution for Band Assignment in Dual-Band Systems With Omnidirectional and Directional Antennas-Reference-Cited by-同舟云学术

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Supervised ML Solution for Band Assignment in Dual-Band Systems With Omnidirectional and Directional Antennas

Published:2022-09 Issue:9 Volume:21 Page:7550-7565
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Burghal Daoud¹^ORCID,Wang Rui¹^ORCID,Alghafis Abdullah²,Molisch Andreas F.³^ORCID

Affiliation:

1. Ming Hsieh Department of Electrical Engineering, University of Southern California (USC), Los Angeles, CA, USA

2. Communication and Information Technology Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia

3. Ming Hsieh Department of Electrical Engineering and Computer, University of Southern California, Los Angeles, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/9882898/09739822.pdf?arnumber=9739822

Reference44 articles.

1. On the Feasibility of Wireless Shadowing Correlation Models

2. Spatial Wireless Channel Prediction under Location Uncertainty

3. Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach

4. Predicting link quality using supervised learning in wireless sensor networks

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1. HRL-based Joint Band Assignment and Beam Management in 4G/5G Multi-Band Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Rate Forecaster based Energy Aware Band Assignment in Multiband Networks;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

3. Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks;2023 IEEE 20th Consumer Communications & Networking Conference (CCNC);2023-01-08

4. Enhanced AI-Based CSI Prediction Solutions for Massive MIMO in 5G and 6G Systems;IEEE Access;2023

5. Deep Learning Gated Recurrent Neural Network-Based Channel State Estimator for OFDM Wireless Communication Systems;IEEE Access;2022

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