Multi-Source AoI-Constrained Resource Minimization under HARQ: Heterogeneous Sampling Processes

We consider a multi-source hybrid automatic repeat request (HARQ) based system, where a transmitter sends status update packets of random arrival (i.e., uncontrollable sampling) and generate-at-will (i.e., controllable sampling) sources to a destination through an error-prone channel. We develop tra...

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Vydané v:	IEEE transactions on vehicular technology Ročník 73; číslo 1; s. 1 - 15
Hlavní autori:	Vilni, Saeid Sadeghi, Moltafet, Mohammad, Leinonen, Markus, Codreanu, Marian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	AoI Automatic repeat request CMDP Constraints Controllability Decoding Dynamic programming Iterative algorithms Iterative methods Lagrangian Lyapunov Machine learning Markov processes Monitoring multi-source status update Optimization Policies Process control Protocols Receivers Sampling Transmitters Unknown environments Wireless communication Protocols constrained Markov decision process (CMDP) Lagrangian Process control Receivers dynamic programming Decoding Age of information (AoI) machine learning Lyapunov Wireless communication Transmitters multi-source status update Monitoring
ISSN:	0018-9545, 1939-9359, 1939-9359
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