Research On Multicell Massive MIMO Uplink Resource Allocation Scheme

For 2020 and beyond,mobile communication technology will enter the stage of the fifth generation(5G),and the massive multi-input multi-output(MIMO)technology is one of the key technologies in it.With the advent of 5G,the demand for communications services has risen sharply,and the energy consumption of the information and communication technology industry industry has also risen sharply.Therefore,energy efficiency of communication networks must be improved and effective resource allocation must be carried out.Based on the practical application scenarios,this dissertation focus on energy-efficiency resource allocation of the multicell massive MIMO system on Rayleigh channel and Rician channel which is more general.Firstly,this dissertation introduces the massive MIMO system model,and its key technologies such as channel estimation and signal detection.Secondly,the system performance of massive MIMO systems under Rayleigh fading is investigated.The dissertation derived the uplink sum rate in the case of perfect or non-perfect CSI of equal gain combining(EGC)and maximum-ratio combining(MRC)detection.Then proposed an energy-efficiency resource allocation method of joint adjustment of data signal power,pilot signal power and pilot signal length,which is suitable for non-perfect CSI.Simulation results show that the resource allocation scheme effectively improves the system performance;the EGC scheme performance is close to the MRC scheme.Finally,the system performance of massive MIMO systems under Ricean fading is investigated.The dissertation derived the uplink sum rate in the case of perfect or non-perfect CSI of EGC and MRC detection.Then proved that this resource allocation scheme is suitable for Ricean channel model.The simulation results show that under the Rician channel,the resource allocation scheme can effectively improve the system performance;the performance of the EGC scheme is basically consistent with that of the MRC scheme.