ML model predicts nonlinear distortion in massive MIMO using 3D ray tracing channels, enabling power allocation with 12% median user throughput gain over fixed PA operation.
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
3 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 3representative citing papers
A sectorized 3D antenna design with spatial resource allocation and user clustering is proposed to maximize data rate in massive MIMO HAPS systems by mitigating spatial correlation and interference.
Code-domain NOMA can improve spectral efficiency in Massive MIMO with planar arrays when user equipments are spatially close.
citing papers explorer
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Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel
ML model predicts nonlinear distortion in massive MIMO using 3D ray tracing channels, enabling power allocation with 12% median user throughput gain over fixed PA operation.
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A Novel 3D Antenna Architecture with Spatial Resource Allocation for Massive MIMO HAPS
A sectorized 3D antenna design with spatial resource allocation and user clustering is proposed to maximize data rate in massive MIMO HAPS systems by mitigating spatial correlation and interference.
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What is the Benefit of Code-domain NOMA in Massive MIMO?
Code-domain NOMA can improve spectral efficiency in Massive MIMO with planar arrays when user equipments are spatially close.