Deep Reinforcement Learning-based Resource Allocation for 5G Machine-type Communication in Active Distribution Networks with Time-varying Interference

Active distribution networks (ADNs) can solve the problem of grid compatibility and large-scale, intermittent, renewable energy applications. As the core part of ADNs, advanced metering infrastructure (AMI) meets the reliability requirements of the system for monitoring, diagnosis and control by ext...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Mobile networks and applications 2022-12, Vol.27 (6), p.2264-2279
Hauptverfasser:	Li, Qiyue, Cheng, Hong, Yang, Yangzhao, Tang, Haochen, Wang, Junbo, Luo, Guojun, Sun, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced metering infrastructure Algorithms Communication Communication networks Communications Engineering Component reliability Computer Communication Networks Data acquisition Data transmission Deep learning Dynamic programming Electrical Engineering Engineering Interference IT in Business Machine learning Network latency Networks Reliability engineering Resource allocation Resource scheduling
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!