IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020
DOI: 10.1109/infocom41043.2020.9155225
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Revealing Much While Saying Less: Predictive Wireless for Status Update

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Cited by 4 publications
(2 citation statements)
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“…[37] proposed an application-layer broadcast rate adaptation algorithm that adapts the messaging rate and showed that this reduces the congestion. [38] considered a dense platooning system and showed that, by considering AoI-based packet generation, the traffic load is decreased without degrading the platoon performance. In our work, we consider the classical delay metric because our system has a specific controller with a period packet generation, as advocated by the ETSI EN 302 637-2.…”
Section: Related Workmentioning
confidence: 99%
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“…[37] proposed an application-layer broadcast rate adaptation algorithm that adapts the messaging rate and showed that this reduces the congestion. [38] considered a dense platooning system and showed that, by considering AoI-based packet generation, the traffic load is decreased without degrading the platoon performance. In our work, we consider the classical delay metric because our system has a specific controller with a period packet generation, as advocated by the ETSI EN 302 637-2.…”
Section: Related Workmentioning
confidence: 99%
“…In our work, we consider the classical delay metric because our system has a specific controller with a period packet generation, as advocated by the ETSI EN 302 637-2. However, as our controller adopts the zero-order hold mechanism during the periods of packet losses, an AoI-based broadcast rate adaptation should educe the packet rate, but this would have a limited impact on the performance as we consider a single platoon and interference is mainly caused by external vehicles that would not follow the same rate adaptation, in contrast with the models in [37], [38].…”
Section: Related Workmentioning
confidence: 99%