URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence-Reference-Cited by-同舟云学术

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URLLC for 5G and Beyond: Requirements, Enabling Incumbent Technologies and Network Intelligence

Published:2021 Issue: Volume:9 Page:67064-67095
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Rashid^ORCID,Zikria Yousaf Bin^ORCID,Bashir Ali Kashif^ORCID,Garg Sahil^ORCID,Kim Hyung Seok^ORCID

Funder

National Research Foundation of Korea (NRF) grant

Korean Government [Ministry of Science and ICT (MSIT)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09406015.pdf?arnumber=9406015

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2. Rate-Splitting Sparse Vector Code for Next-Generation URLLC Systems;IEEE Wireless Communications Letters;2024-07

3. Resource allocation for UAV-enabled multi-access edge computing;The Journal of Supercomputing;2024-06-28

4. Towards TSN-5G integration: simulating time synchronization through 5G via OMNeT++;Anais Estendidos do XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2024);2024-05-20

5. Fast traffic processing in multi-tenant 5G environments: A comparative performance evaluation of P4 and eBPF technologies;Engineering Science and Technology, an International Journal;2024-04

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