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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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Kiekenap, Kilian ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja
Type of entry: Bibliographie
Title: Energy-Optimal Short Packet Transmission for Time-Critical Control
Language: English
Date: 10 December 2021
Publisher: IEEE
Book Title: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings
Event Title: 94th Vehicular Technology Conference (VTC2021-Fall)
Event Location: virtual Conference
Event Dates: 27.-30.09.2021
DOI: 10.1109/VTC2021-Fall52928.2021.9625205
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.

Uncontrolled Keywords: emergenCITY_KOM
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communications Engineering
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > C: Communication Mechanisms > Subproject C1: Network-centred perspective
Date Deposited: 15 Feb 2022 10:22
Last Modified: 26 Aug 2022 10:08
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Projects: BMBF Open6GHub
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