Min-Max Decoding-Error Probability-Based Resource Allocation for a URLLC System

This letter considers an industrial automation scenario where a central controller communicates with multiple machines by transmitting data in short blocklengths. This communication is subject to reliability and latency constraints, which can be referred to as ultra-reliable and low-latency communic...

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Veröffentlicht in:IEEE communications letters Jg. 24; H. 12; S. 2864 - 2867
1. Verfasser: Nasir, Ali A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Automation
Codes
Errors
Internet of Things
IoT
Linear programming
Manganese
Optimization
Resource allocation
Resource management
Throughput
URLLC
ISSN:1089-7798, 1558-2558
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Zusammenfassung:This letter considers an industrial automation scenario where a central controller communicates with multiple machines by transmitting data in short blocklengths. This communication is subject to reliability and latency constraints, which can be referred to as ultra-reliable and low-latency communication (URLLC). With the objective of minimizing the worst-case decoding-error probability for all the machines (min-max decoding-error probability), we consider joint power allocation and transmission blocklength optimization under the subject of transmit power and latency constraints. To solve this challenging problem, we propose a novel path-following algorithm. Simulation results clearly demonstrate the merits of the proposed algorithm.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2020.3015688