Network slicing for URLLC and eMBB with max-matching diversity channel allocation

dos Santos, Elço João; Souza, Richard Demo; Rebelatto, João Luiz; Alves, Hirley (2019-12-13)
 
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https://doi.org/10.1109/LCOMM.2019.2959335

dos Santos, Elço João
Souza, Richard Demo
Rebelatto, João Luiz
Alves, Hirley
Institute of Electrical and Electronics Engineers
13.12.2019

E. J. dos Santos, R. D. Souza, J. L. Rebelatto and H. Alves, "Network Slicing for URLLC and eMBB With Max-Matching Diversity Channel Allocation," in IEEE Communications Letters, vol. 24, no. 3, pp. 658-661, March 2020. doi: 10.1109/LCOMM.2019.2959335

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doi:https://doi.org/10.1109/LCOMM.2019.2959335
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Abstract

This 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.

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