Research And Implementation Of Large-Scale MIMO Beam Tracking For Wireless Network Planning

Massive MIMO,as one of the core technologies of 5G,is often combined with concepts such as beamforming and millimeter waves,which can greatly improve the coverage accuracy of base stations.On the wireless network planning platform,the uniform planar array antenna structure in massive MIMO is usually used to shape the beam.In the shaping process,different antenna gain weights can be obtained.According to these weight values,the antenna pattern can be generated to obtain the antenna gains in various directions,which are applied to the calculation of the path loss of the ray tracing in the coverage simulation module.So as to get a more accurate coverage effect.In this paper,in actual scenarios,the base station performs coverage and beam tracking of users moving in the horizontal and vertical dimensions,and simulates the actual problems on the wireless network planning platform.In actual scenarios,for mobile users,the shaped beams will be beamformed again,and new beam clusters will be generated according to the user's location.The beam tracking method proposed in this paper will be based on the user data of the user at the last moment instead of initializing the existing system information,which can reduce the overhead of rescanning and reduce the problem of instability in the signal connection process.On the wireless network planning platform,for the problem of user location movement,considering that the user's location and motion state information has a strong connection with the user data at the previous moment,if the user's initial information is used for calculation each time,and the If user data at a moment is not taken into consideration,it will cause larger observation errors.After tracking and filtering,the calculation error will be significantly reduced.First,this paper studies the three-dimensional beamforming algorithm to simulate the coverage of users on each floor in the high-rise building scene.Using three-dimensional beams,for high-rise building scenes such as escalators in typical vertical scenes and sightseeing elevators built on the edges of buildings,users may experience signal instability when they are displaced in the vertical direction.In order to solve this problem,this paper proposes a single base station multi-user beamforming scheme based on particle filter algorithm.This solution will first obtain the starting position and movement status of the users on each floor,use preprocessing and classification algorithms to judge the user data,and distinguish which user belongs to.Prediction of the position and motion state of the 3D MIMO to realize 3D MIMO beam tracking in the vertical direction.Then,this paper studies the beam tracking scheme based on Kalman filtering for horizontal scenes.For the most common scenes such as streets and parks,it can be regarded as the user's displacement in the horizontal direction.In this paper,the complex trajectory is modeled into four models for analysis based on the user's movement behavior in real life.According to the user trajectory of different street scenes,the user's historical position is tracked,the user's next moment's position is predicted,the coordinate and angle errors generated during the prediction process are calculated,and the user's predicted position and movement at different times are calculated.State,calculate the weight matrix of the antenna,obtain the best weight by using the Lagrange's method of multipliers,and obtain the antenna gain,so that the signal strength of the user is stable during the movement.