Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO

Author:

Lopes Victor Hugo L.1ORCID,Nahum Cleverson Veloso2ORCID,Dreifuerst Ryan M.3ORCID,Batista Pedro4,Klautau Aldebaro2ORCID,Cardoso Kleber Vieira1ORCID,Heath Robert W.5ORCID

Affiliation:

1. Institute of Informatics, Federal University of Goiás, Goiânia, Brazil

2. Department of Computer and Telecommunication Engineering, Federal University of Pará, Belém, Brazil

3. Wireless Networking and Communications Group, The University of Texas at Austin, Austin, TX, USA

4. Ericsson Research, Stockholm, Sweden

5. Department of Electronics and Computer Engineering, North Carolina State University, Raleigh, NC, USA

Funder

Innovation Center, Ericsson Telecom. S.A., Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 2 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. Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks;IEEE Transactions on Machine Learning in Communications and Networking;2023

2. A Deep Reinforcement Learning-Based Resource Scheduler for Massive MIMO Networks;IEEE Transactions on Machine Learning in Communications and Networking;2023

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