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 (27.09.2021-30.09.2021)
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: | 27.09.2021-30.09.2021 |
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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