A probabilistic Grant Free scheduling model to allocate resources for eXtreme URLLC applications
Author:
Affiliation:
1. Osaka University 1-5 Yamadaoka, Suita,Graduate School of Information Science and Technology,Osaka,Japan,565-0871
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000062/10000066/10000540.pdf?arnumber=10000540
Reference13 articles.
1. Downlink capacity and base station density in cellular networks;yu;2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile Ad Hoc and Wireless Networks (WiOpt),2013
2. Enabling Grant-Free URLLC: An Overview of Principle and Enhancements by Massive MIMO;ding;IEEE Internet of Things Journal,2021
3. System Level Analysis of Uplink Grant-Free Transmission for URLLC
4. Analyzing Grant-Free Access for URLLC Service
5. Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC)
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1. RIS-Aided Proactive Mobile Network Downlink Interference Suppression: A Deep Reinforcement Learning Approach;Sensors;2023-07-20
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