Study On Antenna Selection Algorithm Of 3D Massive MIMO Based On Green Communication

Mobile communication has entered 5G(Fifth Generation,5G)era,and 3D Massive MIMO(3D Massive Multiple-input Multiple-output)is a key technology for 5G mobile communication.3D Massive MIMO technology not only has the advantages of traditional MIMO,but also has some unique advantages.However,this technology also brings some new problems.Because of adopting Massive MIMO,the number of radio frequency(RF)link and the power consumption is greatly increased,which is contrary to the conception of green communication.Futhermore,compared with traditional MIMO system,3D MIMO system adds vertical pitch angle information,which makes channel modeling more difficult.Therefore,a 3D Massive MIMO antenna selection algorithm based on green communication is proposed.The purpose of the algorithm is to reduce the system power consumption and achieve green communication on the premise of satisfying the Quality of Service(QoS)and capacity.Therefore,the main contents of this thesis are as follows:In this thesis,the channel model of 3D massive MIMO system is established.Based on the vertical pitch angle information of the transmitted signal,the transmitted signal model of the 3D antenna array is constructed by using a cylindrical array at base station.Combined with the plane received array of mobile terminal,a 3D Massive MIMO channel model is constructed.According to the received signal model,the users'downlink power and interference power are derived.According to the signal model,a 3D Massive MIMO antenna selection algorithm based on green communication is derived.The algorithm is divided into three parts.The first part is power control algorithm based on non-cooperative game.The relationship that between signal to interference plus noise ratio(SINR)and downlink power is analyzed.Then 3D Massive MIMO power control algorithm based on non-cooperative game is deduced,and the existence proof of the Nash equilibrium is given.When the game results,the pitch angle of each user's downlink signal and downlink power are obtained.In the second part,according to the transmitted power of base station antennas and system capacity,a Massive MIMO antenna selection algorithm based on game theory(AS-GT)is constructed.The utility function is constructed by system capacity and transmitted power.A group of antennas is selected according to each game.At the game equilibrium,the energy efficiency gets the maximum.The existence proof of Nash equilibrium is given,too.And the equivalence between Nash equilibrium point and the maximum of energy efficiency is also derived.In the third part,the 3D Massive MIMO power control algorithm is combined with the Massive MIMO antenna selection algorithm,which the Massive MIMO antenna selection algorithm is extended to the 3D Massive MIMO antenna selection algorithm.The simulation results show that the game theory algorithm can achieve global optimum,which brings out higher energy efficiency,whereas the channel capacity is no significant dropped,and the energy efficiency of 3D Massive MIMO antenna selection algorithm is higher than that of Massive MIMO antenna selection algorithm.In summary,the energy efficiency of 3D Massive MIMO antenna selection algorithm can be improved by the game of system capacity and transmitted power which is the function of pitch angle.