Predictive Resource Allocation for URLLC using Empirical Mode Decomposition-Reference-Cited by-同舟云学术

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Predictive Resource Allocation for URLLC using Empirical Mode Decomposition

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
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Author:

Jayawardhana Chandu¹,Sivalingam Thushan¹,Mahmood Nurul Huda¹,Rajatheva Nandana¹,Latva-Aho Matti¹

Affiliation:

1. University of Oulu,6G Flagship, Centre for Wireless Communications,Oulu,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10187889/10188221/10188327.pdf?arnumber=10188327

Reference17 articles.

1. Traffic Modeling and Prediction using ARIMA/GARCH Model

2. Empirical Mode Decomposition - an introduction

3. 5G Radio Network Design for Ultra-Reliable Low-Latency Communication

4. Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting;le;WATER,2019

5. A Learning-Based Pre-Allocation Scheme for Low-Latency Access in Industrial Wireless Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decomposition Based Interference Management Framework for Local 6G Networks;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

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