RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization-Reference-Cited by-同舟云学术

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RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization

Published:2021-09-15 Issue:18 Volume:8 Page:14258-14275
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yang Peng^ORCID,Xi Xing^ORCID,Quek Tony Q. S.^ORCID,Chen Jingxuan,Cao Xianbin^ORCID,Wu Dapeng

Funder

MOE ARF Tier 2

SUTD Growth Plan Grant for AI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9530274/09385391.pdf?arnumber=9385391

Cited by 19 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. AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey;Computer Networks;2024-07

2. ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

3. Customizable and Robust Internet of Robots Based on Network Slicing and Digital Twin;IEEE Network;2024-05

4. Optimization of Energy Efficiency for Uplink mURLLC Over Multiple Cells Using Cooperative Multiagent Reinforcement Learning;IEEE Internet of Things Journal;2024-05-01

5. Stochastic Geometry Analysis of URLLC Services in Dual Connectivity THz-mmWave Heterogeneous Networks;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

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