SVM-Based Factor Graph Design for Max-SR Problem of SCMA Networks

In this letter, a novel factor graph design based on the support vector machine (SVM) is proposed to maximize the sum-rate (Max-SR) of three-dimensional (3D) SCMA networks. A new iterative inter-group subcarrier allocation (IIGSCA) algorithm is proposed to train datasets. Hence, it effectively impro...

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Veröffentlicht in:	IEEE communications letters 2024-04, Vol.28 (4), p.877-881
Hauptverfasser:	Cheraghy, Maryam, Soltanpour, Meysam, Abdalla, Hemn Barzan, Oveis, Amir Hosein
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification algorithms Design factors Interference machine learning optimal factor graph SCMA Solid modeling Support vector machines SVM Three-dimensional displays Training Uplink
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