Network Slicing for URLLC and eMBB With Max-Matching Diversity Channel Allocation
Network Slicing for URLLC and eMBB With Max-Matching Diversity Channel Allocation
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DOI：
10.1109/lcomm.2019.2959335
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发表时间：
2020-03-01
期刊：
影响因子：
--
通讯作者：
Alves, Hirley
中科院分区：
文献类型：
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作者：
dos Santos, Elco Joao, Jr.;Souza, Richard Demo;Alves, Hirley
这项工作考虑了增强型移动的宽带（eMBB）和超可靠低延迟通信（URLLC）这两种异构5G服务之间的无线电资源共享问题。更具体地说，我们提出了使用最大匹配分集（MMD）算法来正确分配信道的eMBB用户，同时考虑异构正交多址接入（H-OMA）和异构非正交多址接入（H-NOMA）网络切片策略。我们的研究结果表明，MMD可以同时提高eMBB的可达速率和URLLC的可靠性，无论采用网络切片策略。
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.