Non-Orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach

This article considers minimizing the age-of-information (AoI) and transmit power consumption in a vehicular network, where a roadside unit (RSU) provides timely updates about a set of physical processes to vehicles. We consider non-orthogonal multi-modal information dissemination, which is based on...

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Veröffentlicht in:	IEEE transactions on mobile computing Jg. 23; H. 10; S. 9789 - 9803
Hauptverfasser:	Al-Habob, Ahmed A., Tabassum, Hina, Waqar, Omer
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2024
Schlagworte:	Age-of-information (AoI) deep reinforcement learning (DRL) Measurement meta deep reinforcement learning (meta-DRL) multi-objective optimization Optimization Power demand Reinforcement learning Resource management successive interference cancellation (SIC) Task analysis Unicast
ISSN:	1536-1233, 1558-0660
Online-Zugang:	Volltext
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