Signal sending method for realizing high-order QAM modulation, signal receiving method for realizing high-order QAM modulation and system for realizing high-order QAM modulation

Abstract

The invention provides a signal sending method for realizing the high-order QAM modulation, a signal receiving method for realizing the high-order QAM modulation and a system for realizing high-orderQAM modulation. The signal sending method is suitable for sending a high-order QAM signal to a receiving end from a transmitting end in a low-bit quantization system, a corresponding relation mappingtable is stored in the transmitting end and the receiving end, and the relation mapping table comprises the corresponding relation of an antenna state sequence and the high-order QAM signal. The signal sending method comprises the steps of step 1 using the transmitting end to modulate and generate the high-order QAM signal according to information to be transmitted; and step 2, selecting an antenna for transmitting the high-order QAM signal according to the modulated and generated high-order QAM signal and the relation mapping table, taking the high-order QAM signal as a transmitting signal, and sending the transmitting signal to a receiving end by utilizing the selected antenna. According to the present invention, the amplitude information of the high-order QAM signal is carried on the antenna selection of the transmitting end, and the receiving end acquires the phase and the amplitude of the demodulated high-order QAM signal, so that the signal processing complexity and the bit errorrate after the high-order QAM signal is demodulated are reduced.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method and system for transmitting and receiving signals of high-order QAM modulation in a low-bit quantization system. Background technique [0002] Massive multiple-input multiple-output (massive MIMO) systems have become a key technology required to improve system throughput in fifth-generation cellular systems. However, the potentially high power consumption of massive MIMO systems, especially the power consumption of radio frequency links, has become a bottleneck limiting its practical applications. The data shows that the digital-to-analog converter (Analog to Digital Converter, ADC) is the device with the largest power consumption in the radio frequency link, and its power consumption increases linearly with the sampling rate, and increases exponentially with the resolution of the ADC. In order to reduce the power consumption of the radio frequency link i...

AI Technical Summary

Problems solved by technology

However, this method needs to learn each constellation point symbol of the high-order QAM signal. Each learning requires a certain amount of data to adjust the parameters required for machine learning. Therefore, it takes a lot of money during the training process. Time-frequency resources, resulting in a sharp drop in the number of resources used for data transmission, and ultimately lead to a decrease in real throughput instead of an increase

Images