A DRL-Based Automated Algorithm Selection Framework for Cross-Layer QoS-Aware Scheduling and Antenna Allocation in Massive MIMO Systems

Massive multiple-input-multiple-output (MIMO) systems support advanced applications with high data rates, low latency, and high reliability in next-generation mobile networks. However, using machine learning in massive MIMO resource allocation is challenging due to quality of service (QoS) and netwo...

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Bibliographic Details
Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Huang, Chih-Wei, Althamary, Ibrahim, Chou, Yen-Cheng, Chen, Hong-Yunn, Chou, Cheng-Fu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Antennas automated algorithm selection Cross layer design Deep learning deep reinforcement learning Heuristic algorithms Machine learning Markov processes Massive MIMO MIMO communication Mobile network Network latency Network reliability Precoding QoS Quality of service Quality of service architectures Resource allocation Resource management Scheduling Traffic models User satisfaction
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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