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arXiv · 2112.01738

Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems

S. He·J. Yuan·Z. An·W. Huang·Y. Huang·Y. Zhang
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Abstract

In multiuser communication systems, user scheduling and beamforming (US-BF) design are two fundamental problems that are usually studied separately in the existing literature. In this work, we focus on the joint US-BF design with the goal of maximizing the set cardinality of scheduled users, which is computationally challenging due to the non-convex objective function and the coupled constraints with discrete-continuous variables. To tackle these difficulties, a successive convex approximation based US-BF (SCA-USBF) optimization algorithm is firstly proposed. Then, inspired by wireless intelligent communication, a graph neural network based joint US-BF (J-USBF) learning algorithm is developed by combining the joint US and power allocation network model with the BF analytical solution. The effectiveness of SCA-USBF and J-USBF is verified by various numerical results, the latter achieves close performance and higher computational efficiency. Furthermore, the proposed J-USBF also enjoys the generalizability in dynamic wireless network scenarios.

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BibTeXRIS

S. He, J. Yuan, Z. An, W. Huang, Y. Huang, Y. Zhang. 2021-12-03. Joint User Scheduling and Beamforming Design for Multiuser MISO Downlink Systems. https://arxiv.org/abs/2112.01738

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