Cascaded angle-based AIRS aided beam tracking scheme for massive MIMO system
Intelligent reflecting surface(IRS)is considered the core technology of the next generation of mobile communications,which can effectively improve the performance of millimeter wave(mmWave)communication systems by providing additional line of sight(LoS)path to compensate propagation losses or solve blocking problems.Aerial IRS(AIRS)deployed on aerial platforms such as drones and hot air balloons combine the high mobility/rotation characteristics of aerial platforms with the quality link characteristics provided by IRS to provide wider signal coverage than traditional ground IRS.Considering the mobility of users in the real world,it is necessary for the communication system to adjust the beamforming in real time to align the beamforming to the mobile users.However,since AIRS do not have active radio frequency chains,it is difficult to obtain angle of departure and angle of arrival at AIRS,and its deployment significantly increases the complexity of beam tracking.To solve this problem,a AIRS assisted mmWave multiple input multiple output(MIMO)system model with time-varying channels is established.Combining active beamforming at the base station,AIRS rotation angle and passive beamforming design,a cascade angle untracked Kalman filter beam tracking scheme is proposed.Simulation results show that the proposed scheme has high tracking accuracy,and AIRS rotation characteristics play an important role in improving the system reachable speed.
NETL
NSTL
万方数据
