Energy Efficient Resource Allocation for Millimeter Wave Non-Orthogonal Multiple Access
User interference affects the energy efficiency of mmWave massive Multiple Input Multiple Output(MIMO)Non-Orthogonal Multiple Access(NOMA)systems.A reasonable resource allocation plan is required to address this issue.A system model is established from the base station to the user based on known channel state information.An energy efficiency optimization problem with multiple constraints is proposed,considering the transmit power and service quality of the base station.This problem is affected by many factors,such as user grouping,precoding,and power allocation,and is a complex non-convex problem.First,assuming the power is fixed,a user grouping algorithm is proposed to match and group users who need to provide services.Accordingly,analog precoding is designed to maximize the gain of the fully connected architecture,and digital precoding is designed using the zero-forcing method.Second,the energy efficiency maximization problem is transformed into multiple sub-problems and processed using a penalty function.Finally,an iterative algorithm based on Dinkelbach is designed for power allocation,and the energy efficiency of the proposed scheme is calculated according to the energy efficiency formula.The simulation analysis results using MATLAB demonstrate that this scheme can ensure fairness among users and is superior to existing schemes in terms of energy efficiency.When the signal-to-interference-plus-noise ratio is 15 dB,this scheme improves the energy efficiency by approximately 25.5％under a fully connected structure and the energy efficiency by approximately 25.1％under a partially connected structure.
energy efficiencymillimeter Wave(mmWave)massive Multiple Input Multiple Output(mMIMO)user groupinghybrid precodingpower allocation
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维普
