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Energy-Optimal Short Packet Transmission for Time-Critical Control

Kiekenap, Kilian ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja (2021)
Energy-Optimal Short Packet Transmission for Time-Critical Control.
94th Vehicular Technology Conference (VTC2021-Fall). virtual Conference (27.-30.09.2021)
doi: 10.1109/VTC2021-Fall52928.2021.9625205
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, the transmission energy for reliable communications with short packets and low latency requirements, e.g. for control applications, is minimized. Since the dynamics of the agents determine the allowed latencies for receiving control inputs, the requirements on latency and allowable packet error rate are individual, depending on the machine type. We consider a centralized environment with a single controller transmitting control commands wireless to multiple agents with given latency requirements. Also, the channel conditions are individual for each agent. Therefore, the optimal time-frequency resource allocation is derived for continuous time-frequency resource allocation. Since the resource allocation in OFDM systems like 5G is discrete, an algorithm to select the allocation from a resource grid with different resolutions is proposed and shown to achieve solutions with less than 0.5 dB increase in energy consumption compared to the continuous results. With numerical evaluation, the benefit of a channel-state- and deadline-aware solution is shown for a resource grid based on the 5G frame structure. On average, the gain of the proposed algorithm to an allocation only balancing the number of resources for each agent, as far as the deadlines allow, is about 50% energy saving.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2021
Autor(en): Kiekenap, Kilian ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja
Art des Eintrags: Bibliographie
Titel: Energy-Optimal Short Packet Transmission for Time-Critical Control
Sprache: Englisch
Publikationsjahr: 10 Dezember 2021
Verlag: IEEE
Buchtitel: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings
Veranstaltungstitel: 94th Vehicular Technology Conference (VTC2021-Fall)
Veranstaltungsort: virtual Conference
Veranstaltungsdatum: 27.-30.09.2021
DOI: 10.1109/VTC2021-Fall52928.2021.9625205
Kurzbeschreibung (Abstract):

In this paper, the transmission energy for reliable communications with short packets and low latency requirements, e.g. for control applications, is minimized. Since the dynamics of the agents determine the allowed latencies for receiving control inputs, the requirements on latency and allowable packet error rate are individual, depending on the machine type. We consider a centralized environment with a single controller transmitting control commands wireless to multiple agents with given latency requirements. Also, the channel conditions are individual for each agent. Therefore, the optimal time-frequency resource allocation is derived for continuous time-frequency resource allocation. Since the resource allocation in OFDM systems like 5G is discrete, an algorithm to select the allocation from a resource grid with different resolutions is proposed and shown to achieve solutions with less than 0.5 dB increase in energy consumption compared to the continuous results. With numerical evaluation, the benefit of a channel-state- and deadline-aware solution is shown for a resource grid based on the 5G frame structure. On average, the gain of the proposed algorithm to an allocation only balancing the number of resources for each agent, as far as the deadlines allow, is about 50% energy saving.

Freie Schlagworte: emergenCITY_KOM
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C1 : Netzzentrische Sicht
Hinterlegungsdatum: 15 Feb 2022 10:22
Letzte Änderung: 26 Aug 2022 10:08
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Projekte: BMBF Open6GHub
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