Reinforcement Learning Based Joint Resource Allocation and User Fairness Optimization in mmWave-NOMA HetNets-Reference-Cited by-同舟云学术

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Reinforcement Learning Based Joint Resource Allocation and User Fairness Optimization in mmWave-NOMA HetNets

Published:2023-05-09 Issue: Volume: Page:
ISSN:
Container-title:2023 31st International Conference on Electrical Engineering (ICEE)
language:
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Author:

Sobhi-Givi Sima¹,Nouri Mahdi²,Shayesteh Mahrokh G.¹,Kalbkhani Hashem³,Ding Zhiguo⁴

Affiliation:

1. Urmia University,Electrical and Computer Engineering Department,Urmia,Iran

2. Sharif university of technology,Elect. Eng. Dep.

3. Urmia University of technology,Faculty of Elec. Eng.,Urmia,Iran

4. School of Electrical and Electronic Engineering, The University of Manchester,Manchester,UK,M13 9PL

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10334618/10334629/10334709.pdf?arnumber=10334709

Reference29 articles.

1. A Survey of NOMA: Current Status and Open Research Challenges

2. Performance Analysis for Downlink MIMO-NOMA in Millimeter Wave Cellular Network with D2D Communications

3. Energy-Efficient Power Allocation and User Selection for mmWave-NOMA Transmission in M2M Communications Underlaying Cellular Heterogeneous Networks

4. A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends

5. The Application of Machine Learning in mmWave-NOMA Systems

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