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
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

Auteurs

Homa Nikbakht (H)

INRIA, INSA, CITI, Université de Lyon, EA3720, 69621 Villeurbanne, France.

Michèle Wigger (M)

LTCI, Télécom Paris, Institut Polytechnique de Paris, 91120 Palaiseau, France.

Malcolm Egan (M)

INRIA, INSA, CITI, Université de Lyon, EA3720, 69621 Villeurbanne, France.

Shlomo Shamai Shitz (S)

Department of Electrical and Computer Engineering, Technion-IIT, Haifa 3200003, Israel.

Jean-Marie Gorce (JM)

INRIA, INSA, CITI, Université de Lyon, EA3720, 69621 Villeurbanne, France.

H Vincent Poor (HV)

School of Engineering and Applied Science, Princeton University, Princeton, NJ 08544, USA.

Classifications MeSH