Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA with Imperfect SIC

This paper investigates the framework of cross-entropy (CE) based clustering and beamforming for mmWave-non-orthogonal multiple access (NOMA) system taking into consideration the impact of imperfect successive interference cancellation (SIC). For the design of clustering and beamforming, we adopt CE...

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Veröffentlicht in:	IEEE transactions on wireless communications 2024-03, Vol.23 (3), p.1-1
Hauptverfasser:	Lim, Byungju, Yun, Won Joon, Kim, Joongheon, Ko, Young-Chai
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Array signal processing Beamforming Clustering Clustering algorithms Convexity cross-entropy optimization Entropy (Information theory) imperfect SIC Interference Interference cancellation Machine learning Millimeter wave communication Millimeter waves mmWave NOMA Nonorthogonal multiple access Optimization techniques Radio frequency Resource management
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