Research On Massive MIMO Technology Solution For 3GPP5G Standardization

The 21st century is an era of heavy traffic explosion.Current communication speed and transmission bandwidth have been difficult to meet the growing needs of people.In the face of new challenges,5G came into being.The dream of 5G is to let the whole wor-ld communicate with each other in information transmission,and realize fast communication at any time between people,between people and machines,between machines and machines,anywhere in the world.Massive MIMO technology and millimeter wave technology are two key technologies of 5G.Millimeter wave technology solves the problem of low fr-equency resource scarcity and provides continuous large bandwidth.Massive MIMO technology greatly improves the spectrum efficiency of communication system by adding input and output antennas.At the same time,three application scenarios are introduced:enhanced mobile broadband scenarios,massive machine type communications,ultra-reliable and low-latency communications.This paper mainly studies the large-scale MIMO technology scheme for 3GPP 5G standardization,designs and implements a system-level simulation platform,and evaluates the system performance of the beamfoiming scheme,channel modeling scheme and power control algorithm under various simulation hypotheses,and gets revalant conclusions.The main contributions and innovations of this article are as follows:1.This paper studies and analyzes the 3D MIMO model and the millimeter wave channel characteristics under large-scale antenna array,analyzes and models the massive MIMO channel,and proposes the idea of space-based time and lazy evaluation when designing the channel modeling scheme.Through comparative analysis,the algorithm scheme based on the lazy evaluation idea can greatly reduce the calculated memory loss without increasing the computational complexity.In addition,together with other 3 GPP members,we participated in the first two phases of 5G NR calibration,simulating the impact of system parameters on performance.In the channel construction process,the two channel models ModelA and ModelB mentioned by 3 GPP are simulated and verified.The simulation results show that the performance of the two channel models is basically the same under the low frequency condition of the carrier frequency.2.In the large-scale antenna technology solution for 3GPP 5G standardization,based on the common beam scanning scheme,an improved hybrid beamforming algorithm is proposed.The improved scheme is different fr-om the first-level codebook beam scanning scheme,and the wide beam is utilized.Rough scanning,narrow beam search establishes two-:level codebook,wide beam coarse scanning can reduce time complexity,and increasing narrow beam sear-ch separation rate can improve beam accuracy to improve system gain.In addition,the simulation platform is used to evaluate the performance of the scheme in terms of cell user rate,throughput and spectrum efficiency under different users and different loads.At the same time,the influence of factors such as base station spacing,frequency point,antenna beam shape and number of channels is analyzed for 5G application scenarios under massive MIMO.Reasonable reference is given through simulation results.3.The paper studies the uplink power control algorithm under large-scale MIMO.The traditional scheme mainly considers the influence of path loss.Based on the traditional scheme,an improved algorithm based on coupled path loss is proposed.The characteristics of channel reciprocity are considered.The uplink transmission power is calculated by various influence calculations such as scale factor,small scale factor and antenna gain.Through the comparison of schemes,the advantages of the improved scheme are verified At the same time,a reasonable resource scheduling allocation scheme is designed to evaluate the application scenarios under massive MIMO.The simulation results show that the power control parameters have a significant impact on the SINR distribution of the simulation test scenario,and reasonable power control.The combination of parameters provides balanced cell edge performance and average performance.