End-to-End Slicing With Optimized Communication and Computing Resource Allocation in Multi-Tenant 5G Systems-Reference-Cited by-同舟云学术

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End-to-End Slicing With Optimized Communication and Computing Resource Allocation in Multi-Tenant 5G Systems

Published:2020-02 Issue:2 Volume:69 Page:2079-2091
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chien Hsu-Tung^ORCID,Lin Ying-Dar^ORCID,Lai Chia-Lin,Wang Chien-Ting

Funder

H2020 Collaborative Europe/Taiwan Research

Industrial Technology Research Institute, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/8995806/08931004.pdf?arnumber=8931004

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic resource allocation and computational offload optimization method for 5G network slicing in MEC environment;Physical Communication;2024-10

2. An Efficient Communication and Computation Resources Sharing in Information-Centric 6G Networks;IEEE Internet of Things Journal;2024-08-15

3. AI-Based Performance Enhancement for Multi-Tenant Slicing;Wireless Networks;2024

4. Dynamic Resource Allocation in Network Slicing with Deep Reinforcement Learning;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

5. Big data analytics for dynamic network slicing in 5G and beyond with dynamic user preferences;Optical and Quantum Electronics;2023-12-02

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