Radio Resource Scheduling with Deep Pointer Networks and Reinforcement Learning

This article presents an artificial intelligence (AI) adaptable solution to handle the radio resource scheduling (RRS) task in 5G networks. RRS is one of the core tasks in radio resource management (RRM) and aims to efficiently allocate frequency domain resources to users. The proposed solution is a...

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Bibliographic Details
Main Author: Al-Tam, Faroq (author)
Other Authors: Mazayev, Andriy (author), Correia, Noélia (author), Rodriguez, J. (author)
Format: conferenceObject
Language:eng
Published: 2021
Subjects:
5G
Deep reinforcement learning
Radio resource management
Radio resource scheduling
Pointer network
Actor-critic
Computer Science; Telecommunications
Online Access:http://hdl.handle.net/10400.1/16612
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/16612

Internet

http://hdl.handle.net/10400.1/16612

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