A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction-Reference-Cited by-同舟云学术

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A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction

Published:2023-12 Issue:12 Volume:22 Page:9412-9423
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Gu Bo¹^ORCID,Zhan Junhui¹,Gong Shimin¹^ORCID,Liu Wanquan¹^ORCID,Su Zhou²^ORCID,Guizani Mohsen³^ORCID

Affiliation:

1. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China

2. School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China

3. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

NSFC

Shenzhen Fundamental Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10354275/10114636.pdf?arnumber=10114636

Reference37 articles.

1. Augmented reality and virtual reality displays: emerging technologies and future perspectives

2. Collaborative Intelligence Enabled Routing in Green IoV: A Grid and Vehicle Density Prediction Based Protocol

3. Deep Reinforcement Learning With Spatio-Temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

4. Robust Optimization Framework for Proactive User Association in UDNs: A Data-Driven Approach

5. Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users

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1. Cellular traffic forecasting based on inverted transformer for mobile perception dual-level base station sleep control;Ad Hoc Networks;2024-08

2. A spatio-temporal prediction methodology based on deep learning and real Wi-Fi measurements;Computer Networks;2024-08

3. Enhanced Multi-Task Traffic Forecasting in Beyond 5G Networks: Leveraging Transformer Technology and Multi-Source Data Fusion;Future Internet;2024-05-05

4. DBSTGNN-Att: Dual Branch Spatio-Temporal Graph Neural Network with an Attention Mechanism for Cellular Network Traffic Prediction;Applied Sciences;2024-03-05

5. Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data;IEEE Transactions on Instrumentation and Measurement;2024

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