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User Traffic Prediction for Proactive Resource Management:
  Learning-Powered Approaches

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches

Global Communications Conference (GLOBECOM), 2019
9 May 2019
Amin Azari
P. Papapetrou
S. Denic
Gunnar Peters
ArXiv (abs)PDFHTML

Papers citing "User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches"

2 / 2 papers shown
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless Networks
To Trust or Not to Trust: On Calibration in ML-based Resource Allocation for Wireless NetworksIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Rashika Raina
Nidhi Simmons
D. Simmons
M. Yacoub
Trung Q. Duong
211
1
0
23 Jul 2025
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
353
17
0
13 Sep 2020
1
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