Study On Energy Efficiency Of Massive MIMO System Based On Interference Cancellation

Massive multiple input multiple output(MIMO)technology has become one of the key technologies of 5G communication systems because it can greatly improve the energy efficiency(EE)and spectrum efficiency(SE)of the system.When realizing the gain of massive MIMO systems,it is necessary to consider factors such as hardware cost and system power consumption.Low-precision analog-to-digital converter(ADCs)can be used to further improve the energy efficiency.Reducing the resolution of the ADCs at the receiver may greatly reduce the hardware cost and circuit complexity when deploying massive MIMO systems.Furthermore,the receiver of the massive MIMO system is equipped with corresponding detectors to detect the received signal.The use of different detectors will also have a great impact on the energy efficiency of the system.Therefore,the study of detectors for massive MIMO system with low-resolution ADCs is of great significance.Interference cancellation has been widely used for signal detection in massive MIMO systems,but its influence on the energy efficiency of the system needs further study.In this thesis,lattice reduction-aided interference cancellation is used for low-precision massive MIMO systems with low-resolution ADCs.The energy efficiency is studied under the quantization noise model(AQNM)and the influence of signal detection on the system's energy efficiency is studied for different scenarios.Specifically,considering given modulation and signal processing schemes,the required transmission power is analyzed for achieving a given bit error rate(BER),providing a new perspective for studying the energy efficiency in practical applications.The proposed analysis can provide an effective reference for the selection of parameters such as the number of antennas and quantization levels.The numerical results show that the non-linear detectors based on lattice reduction interference cancellation can achieve the optimal energy efficiency in scenarios with fewer BS antennas,low target BER,and large cell range.At the same time,increasing the signal processing speed at the BS can effectively improve the energy efficiency.When the number of BS antennas is large and the cell area is small,the linear detector may achieve higher energy efficiency.In addition,it is shown that 5-7 bits ADCs are generally advantageous in balancing their own power consumption and the resulting nonlinear distortion and hence may achieve better energy efficiency.