Research On Intelligent Signal Processing Technology In The Next Generation Wireless Communication System

The popularization of mobile communication equipment has promoted the growth of people's demand for high-speed data services.As the number of terminal devices connected to the base station increases day by day,the demand for the system capacity becomes greater and greater.Massive MIMO channel estimation and NOMA are considered to be the key technologies to solve these problems.The main work and innovation are as follows:?1?In order to solve the problem of system capacity,the third chapter has designed a NOMA scheme with two sets of orthogonal signal waveform and using iterative interference elimination receiver,the scheme of simulation shows that when two groups of users within the scope of a certain proportion,it can obvious increase the system capacity without losing performance at the same time.The simulation proves that the scheme is an extension of orthogonal multiple access technology rather than a completely opposite.?2?The precision of channel estimation in mmWave Massive MIMO system can directly affect the detection performance of precoding performance of the transmitter and the receiver,so it is very important to obtain accurate channel state information.In order to solve this problem,according to the compressive sensing theory,the fourth chapter proposed a ???_1/2-regularization based sparse channel estimation scheme,Simulation results verified that the proposed algorithm can achieve better performance than some recently proposed algorithms.