Research On Multi-scenario Massive MIMO Wireless Transmission Technology Based On Low-resolution Quantization

With the pace of industrialization and modernization,the smart grid has become an indispensable infrastructure in people’s life.And wireless communication because of its convenient deployment,wide coverage,which gradually applies in the smart grid network,including massive MIMO technology can greatly improve the communication system of data transfer rate and spectral efficiency,but brought huge hardware overhead cost and energy consumption.The results show that the low resolution ADC and DAC can effectively reduce the complexity of massive MIMO system deployment,hardware cost and system energy consumption.This paper will study the effects of low resolution quantization on spectral efficiency and energy efficiency of massive MIMO communication systems using low resolution ADC/DAC architectures in different scenarios.Firstly,in view of the jammer interference and the spatial correlation characteristics of massive MIMO channels,the asymptotic performance of massive MIMO uplink systems based on low/mixed resolution ADCs is studied.The spatial correlation channel model is established by Toeplitz correlation model.The additive quantization noise model and the MRC algorithm are used to process the signals,and the approximates of spectral efficiency under the ideal/non-ideal CSI are derived.Meanwhile,the system power consumption model is established and the compromise between spectral efficiency and energy efficiency is analyzed.The simulation results show that in order to improve the performance of the low-resolution ADC system,it is necessary to ensure that user’s transmit power is greater than that of the jammer.The mixed resolution ADC system needs to adjust the ratio of high/low resolution ADC and select the appropriate spatial correlation coefficient,thus the system can obtain better spectral efficiency and relatively high energy efficiency.Secondly,in view of the time-frequency resource waste in massive MIMO half-duplex communication,the asymptotic performance of multi-user full-duplex massive MIMO system based on low resolution ADCs/DACs under Rician fading channel is studied.The signal is processed by MRC/MRT algorithm,and the approximates of spectral efficiency under ideal/non-ideal CSI are derived.Meanwhile,the system power consumption model is established and the compromise between spectral efficiency and energy efficiency is analyzed.The simulation results show that the spectral efficiency of full-duplex system is better than that of half-duplex system under low loop interference,and vice versa.In addition,the performance of energy efficiency can be significantly improved by slightly reducing the spectral efficiency of full-duplex systems.Finally,in view of the impairment hardware of massive MIMO systems,the asymptotic performance of massive MIMO downlink systems based on low resolution ADCs/DACs under non-ideal hardware is studied.The channel is modeled as Rayleigh fading channel,the signal is processed by ZF precoding algorithm,and the approximates of spectral efficiency are derived.Meanwhile,the system power consumption model is established and the compromise between spectral efficiency and energy efficiency is analyzed.The simulation results show that The performance loss caused by hardware impairment can be compensated by appropriately increasing ADC/DAC resolution and base station antenna.In addition,the spectral efficiency performance can be significantly improved by slightly reducing the energy efficiency.