Performance Optimization for mmWave MIMO-NOMA Network under Near-field Channels
Extremely Large-Scale Multiple Input Multiple Output(XL-MIMO),Non-Orthogonal Multiple Access(NOMA)and Hybrid Beamforming(HBF)are the key technologies of 6G.With the substantial increase in the number of antennas,the transformation from large-scale MIMO system to XL-MIMO system not only means the change in the number of antennas,but also fundamentally changes the transmission characteristics of electromagnetic waves,so the far-field channel based on plane wave model will no longer be applicable.Therefore,considering the near-field communication scenario based on the spherical wave transmission model,a millimeter wave MIMO-NOMA network with Group-level Successful Interference Cancellation(GSIC)is adopted for energy efficiency in this model.Firstly,the uplink millimeter-wave XL-MIMO-HBF-NOMA system model is established based on the near-field channel,and the optimized user grouping scheme is given.Secondly,the optimization problem with the goal of maximizing EE is proposed,and the HBF design is completed by beam scanning and zero forcing technology.In order to solve this nonconvex optimization problem,nested quadratic transformation technology is adopted,and an iterative optimization algorithm about HBF and power allocation is designed.Finally,the effectiveness of the proposed architecture in near field communication is verified by simulation.
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