Reference : Novel Reinforcement Learning based Power Control and Subchannel Selection Mechanism f...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/53146
Novel Reinforcement Learning based Power Control and Subchannel Selection Mechanism for Grant-Free NOMA URLLC-Enabled Systems
English
Tran, Duc Dung mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ha, Vu Nguyen mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Aug-2022
Proceedings of 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
1-5
Yes
International
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
from 19-06-2022 to 22-06-2022
IEEE
Helsinki
Finland
[en] Grant-free NOMA ; Q-Learning ; URLLC
[en] Reducing waiting time due to scheduling process and exploiting multi-access transmission, grant-free non-orthogonal multiple access (GF-NOMA) has been considered as a promising access technology for URLLC-enabled 5G system with strict requirements on reliability and latency. However, GF-NOMAbased systems can suffer from severe interference caused by the grant-free (GF) access manner which may degrade the system performance and violate the URLLC-related requirements. To overcome this issue, the paper proposes a novel reinforcementlearning (RL)-based random access (RA) protocol based on which each device can learn from the previous decision and its corresponding performance to select the best subchannels and transmit power level for data transmission to avoid strong cross-interference. The learning-based framework is developed to maximize the system access efficiency which is defined as the ratio between the number of successful transmissions and the number of subchannels. Simulation results show that our proposed framework can improve the system access efficiency significantly in overloaded scenarios.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM - Signal Processing & Communications
FNR and ERC
FNR-funded project CORE 5G-Sky (Grant C19/IS/13713801)
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/53146
FnR ; FNR13713801 > Bjorn Ottersten > 5G-Sky > Interconnecting The Sky In 5g And Beyond - A Joint Communication And Control Approach > 01/06/2020 > 31/05/2023 > 2019

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