Subchannel Allocation in Massive Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiple Access and Hybrid Beamforming Systems with Deep Reinforcement Learning

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Authors: Jih-Wei Lee, Yung‐Fang Chen
Cited by: 0

Abstract

In this study, we emphasize that the maximum sum rate can be achieved through AI-based subchannel allocation, while taking into account all users’ quality of service (QoS) requirements in data rates for hybrid beamforming systems.

Fields of Study & Subjects

Millimeter-Wave Propagation and Modeling Advanced MIMO Systems Optimization Advanced Wireless Network Optimization

Publication details

Journal / source
IEEE International Conference on Knowledge Innovation and Invention (ICKII)
Pages
55–55
Publication date
6 February 2026
Language
EN