Statistical Tools and Methodologies for Ultrareliable Low-Latency Communication-A Tutorial

Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC pose a herculean task due to the fundamental need to identify and accurately characterize the underlying statistical mode...

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Veröffentlicht in:Proceedings of the IEEE Jg. 111; H. 11; S. 1502 - 1543
Hauptverfasser: Lopez, Onel L. A., Mahmood, Nurul H., Shehab, Mohammad, Alves, Hirley, Rosabal, Osmel Martinez, Marata, Leatile, Latva-Aho, Matti
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Access control
Age of information (AoI)
Algorithms
Cellular communication
Clustering
Clustering methods
compressed sensing
Event detection
extreme value theory (EVT)
finite block length (FBL)
inequalities and distribution bounds
Information age
Low latency communication
Machine learning
machine learning (ML)
meta-distribution
Multilayers
Network latency
Nonhomogeneous media
Protocols
Queueing analysis
Queuing theory
rare-event simulations
Reliability
Reliability theory
State-of-the-art reviews
Statistical models
Stochastic processes
Tutorials
Ultra reliable low latency communication
ultrareliable low-latency communication (URLLC)
ISSN:0018-9219, 1558-2256
Online-Zugang:Volltext
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Zusammenfassung:Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC pose a herculean task due to the fundamental need to identify and accurately characterize the underlying statistical models in which the system operates, e.g., interference statistics, channel conditions, and the behavior of protocols. In general, multilayer end-to-end approaches considering all the potential delay and error sources and proper statistical tools and methodologies are inevitably required for providing strong reliability and latency guarantees. This article contributes to the body of knowledge in the latter aspect by providing a tutorial on several statistical tools and methodologies that are useful for designing and analyzing URLLC systems. Specifically, we overview the frameworks related to the following: 1) reliability theory; 2) short packet communications; 3) inequalities, distribution bounds, and tail approximations; 4) rare-events simulation; 5) queuing theory and information freshness; and 6) large-scale tools, such as stochastic geometry, clustering, compressed sensing, and mean-field (MF) games. Moreover, we often refer to prominent data-driven algorithms within the scope of the discussed tools/methodologies. Throughout this article, we briefly review the state-of-the-art works using the addressed tools and methodologies, and their link to URLLC systems. Moreover, we discuss novel application examples focused on physical and medium access control layers. Finally, key research challenges and directions are highlighted to elucidate how URLLC analysis/design research may evolve in the coming years.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2023.3328920