Research On Low Power Hybrid Precoding For Millimeter Wave Massive MIMO Systems

Millimeter wave communication technology and Massive MIMO communication technology are key technologies supporting 5th generation mobile communication.Millimeter wave Massive MIMO communication system usually employs hundreds of antennas,If the system adopt fully digital radio frequency chains architecture with high-precision DAC and ADC chips,the power consumption of the radio frequency is bound to be overhead and the complexity of baseband signal processing is high.Furthermore,deploying such a system is costly,impractical and meaningless.Therefore,the research of low power,low cost and low complexity Millimeter wave Massive MIMO communication system is of great significance.The low-power quantized hybrid precoding technique can effectively solve the problem of high-complexity,high-power,and high-cost Millimeter wave Massive MIMO system.The system can significantly reduce power consumption and cost,by configuring low-resolution DAC and ADC chips and using a hybrid RF chains architecture.Furthermore,we study quantized hybrid precoding to improve system spectral efficiency and reduce the bit error rate in this system architecture,which can be more application value.First of all,we design the quantized hybrid precoding for Millimeter Wave Massive MIMO System with low resolution ADC.The full connection array hybrid architecture is used as the system model.Then,we use AQNM to derive the quantization distortion factor and quantization distortion vector under the low resolution ADC.We also use OMP algorithm to design quantized hybrid precoding,derive closed-form expression of the system capacity and analyze the system bit error rate.Second,we design quantized hybrid precoding for Millimeter Wave Massive MIMO System with low resolution DAC.The full connection array and sub connection array hybrid architectures are respectively used as the system model.Furthermore,the AQNM and the Bussgang Theorem are respectively used to derive the quantization gain matrix and quantization distortion vector under the low resolution DAC.We use SIC and OMP algorithm to design quantized hybrid precoding,derive closed-form expression of the system capacity and analyze the system bit error rate,respectively.Finally,we design quantized hybrid precoding for Millimeter Wave Massive MIMO System the low-resolution DAC and ADC.The full connection array hybrid architecture is used as the system model.Furthermore,the AQNM and the Bussgang Theorem are respectively used to derive the quantization gain matrix and quantization distortion vector under low-resolution DAC and ADC,respectively.We also use OMP algorithm to design quantized hybrid precoding,derive closed-form expression of the system capacity and analyze the system bit error rate.In conclusion,the simulation results show how many bits of ADC and DAC should be used for transceivers to reduce system power consumption,cost and complexity while ensuring acceptable performance loss.