System Level Analysis of Uplink Grant-Free Transmission for URLLC-Reference-Cited by-同舟云学术

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System Level Analysis of Uplink Grant-Free Transmission for URLLC

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Globecom Workshops (GC Wkshps)
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Author:

Jacobsen Thomas,Abreu Renato,Berardinelli Gilberto,Pedersen Klaus,Mogensen Preben,Kovacs Istvan Z.,Madsen Tatiana K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8267147/8269020/08269137.pdf?arnumber=8269137

Cited by 28 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. Optimization of Energy Efficiency for Uplink mURLLC Over Multiple Cells Using Cooperative Multiagent Reinforcement Learning;IEEE Internet of Things Journal;2024-05-01

2. Distributed Machine-Learning for Early HARQ Feedback Prediction in Cloud RANs;IEEE Transactions on Wireless Communications;2024-01

3. Deep Reinforcement Learning Driven Joint Dynamic TDD and RRC Connection Management Scheme in Massive IoT Networks;IEEE Access;2024

4. Adaptive <i>K</i>-Repetition Transmission with Site Diversity Reception for Energy-Efficient Grant-Free URLLC in 5G NR;IEICE Transactions on Communications;2024-01-01

5. Ultra-High Rate-Reliability Fairness in Grant-Free Massive URLLC NOMA System: Joint Power and Channel Allocation Using Meta-Heuristic Search;IEEE Transactions on Vehicular Technology;2023-12

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