학술논문
Network Slicing for URLLC and eMBB With Max-Matching Diversity Channel Allocation
Document Type
Periodical
Author
Source
IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 24(3):658-661 Mar, 2020
Subject
Language
ISSN
1089-7798
1558-2558
2373-7891
1558-2558
2373-7891
Abstract
This work considers the problem of radio resource sharing between enhanced mobile broadband (eMBB) and ultra-reliable 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 non-orthogonal 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.