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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Vydáno v:	IEEE transactions on mobile computing Ročník 23; číslo 10; s. 9789 - 9803
Hlavní autoři:	Al-Habob, Ahmed A., Tabassum, Hina, Waqar, Omer
Médium:	Magazine Article
Jazyk:	angličtina
Vydáno:	IEEE 01.10.2024
Témata:	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
On-line přístup:	Získat plný text
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