Kiekenap, Kilian ; Ortiz Jimenez, Andrea Patricia ; Klein, Anja (2021):
Energy-Optimal Short Packet Transmission for Time-Critical Control.
In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings,
IEEE, 94th Vehicular Technology Conference (VTC2021-Fall), virtual Conference, 27.-30.09.2021, ISBN 978-1-6654-1368-8,
DOI: 10.1109/VTC2021-Fall52928.2021.9625205,
[Conference or Workshop Item]

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.

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