An Information-Theoretic View of Mixed-Delay Traffic in 5G and 6G.
URLLC
eMBB
mixed-delay constraints
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
30 Apr 2022
30 Apr 2022
Historique:
received:
21
03
2022
revised:
22
04
2022
accepted:
22
04
2022
entrez:
28
5
2022
pubmed:
29
5
2022
medline:
29
5
2022
Statut:
epublish
Résumé
Fifth generation mobile communication systems (5G) have to accommodate both Ultra-Reliable Low-Latency Communication (URLLC) and enhanced Mobile Broadband (eMBB) services. While eMBB applications support high data rates, URLLC services aim at guaranteeing low-latencies and high-reliabilities. eMBB and URLLC services are scheduled on the same frequency band, where the different latency requirements of the communications render their coexistence challenging. In this survey, we review, from an information theoretic perspective, coding schemes that simultaneously accommodate URLLC and eMBB transmissions and show that they outperform traditional scheduling approaches. Various communication scenarios are considered, including point-to-point channels, broadcast channels, interference networks, cellular models, and cloud radio access networks (C-RANs). The main focus is on the set of rate pairs that can simultaneously be achieved for URLLC and eMBB messages, which captures well the tension between the two types of communications. We also discuss finite-blocklength results where the measure of interest is the set of error probability pairs that can simultaneously be achieved in the two communication regimes.
Identifiants
pubmed: 35626522
pii: e24050637
doi: 10.3390/e24050637
pmc: PMC9141450
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : French National Agency for Research (ANR)
ID : ANR-16-CE25-0001 - ARBURST
Organisme : INRIA Nokia Bell Labs ADR "Network Information Theory"
Organisme : European Union's Horizon 2020 Research And Innovation Program,
ID : no. 715111
Organisme : US-Israel Binational Science Foundation (BSF)
ID : BSF-2018710
Organisme : U.S. National Science Foundation (NSF) within the Israel-US Binational program
ID : CCF-1908308.
Références
Entropy (Basel). 2020 Feb 05;22(2):
pubmed: 33285957
Entropy (Basel). 2021 Jan 18;23(1):
pubmed: 33477571