Network slicing for URLLC and eMBB with max-matching diversity channel allocation |
|
Author: | dos Santos, Elço João1; Souza, Richard Demo1; Rebelatto, João Luiz2; |
Organizations: |
1EEL, UFSC, Florianópolis-SC, Brazil 2CPGEI, UTFPR, Curitiba-PR, Brazil 3CWC, University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202001071316 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
|
Publish Date: | 2020-01-07 |
Description: |
AbstractThis work considers the problem of radio resource sharing between enhanced mobile broadband (eMBB) and ultrareliable and low latency communications (URLLC), two heterogeneous 5G services. More specifically, we propose the use of a max-matching diversity (MMD) algorithm to properly allocate the channels to the eMBB users, considering both heterogeneous orthogonal multiple access (H-OMA) and heterogeneous nonorthogonal multiple access (H-NOMA) network slicing strategies. Our results indicate that MMD can simultaneously improve the eMBB achievable rate and the URLLC reliability regardless the network slicing strategy adopted. see all
|
Series: |
IEEE communications letters |
ISSN: | 1089-7798 |
ISSN-E: | 2373-7891 |
ISSN-L: | 1089-7798 |
Volume: | 24 |
Issue: | 3 |
Pages: | 658 - 661 |
DOI: | 10.1109/LCOMM.2019.2959335 |
OADOI: | https://oadoi.org/10.1109/LCOMM.2019.2959335 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This work has been supported in Brazil by CNPq and Print CAPES-UFSC “Automation 4.0”, and in Finland by Academy of Finland 6Genesis Flagship (Grant no318927) and EE-IoT (no319008). |
Academy of Finland Grant Number: |
318927 319008 |
Detailed Information: |
318927 (Academy of Finland Funding decision) 319008 (Academy of Finland Funding decision) |
Copyright information: |
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |