Min-max decoding-error probability-based resource allocation for a URLLC system

Ali A. Nasir*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

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.

Original languageEnglish
Article number9164985
Pages (from-to)2864-2867
Number of pages4
JournalIEEE Communications Letters
Volume24
Issue number12
DOIs
StatePublished - Dec 2020

Bibliographical note

Publisher Copyright:
© 1997-2012 IEEE.

Keywords

  • IoT
  • URLLC
  • optimization
  • resource allocation

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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