Research On Transceiver Technology Of Wireless Communication System Based On Non-orthogonal Multiple Access (NOMA)

The current skyrocketing demand for data traffic and the number of users poses many challenges to multiple access technologies.NOMA technology can achieve multiple user multiplexing within the same resource in different dimensions,which is more suitable for the next generation wireless communication system than traditional multiple access technology.In this paper,many aspects of NOMA technology are studied.The main research contents include:1.Analysis and research on SCMA,PD-NOMA and MIMO-NOMA systems.The basic principles,link models and key technologies of the three systems are studied.The codebook design and detection principles of SCMA system,PA algorithm and SIC technology of PDNOMA system,user allocation algorithm,BF technology and PA algorithm of MIMONOMA system are analyzed and compared.2.Codebook design schemes of SCMA system are studied.The codebook design schemes based on mixed rearrangement of constellation point real part and imaginary part,MD-SCMA,TCM subset division and Star-QAM modulation are compared respectively.From the perspective of Golden Angle Modulation(GAM),a general design method of SCMA codebook(?-GAM-SCMA)containing independent optimization parameters ?based on GAM is proposed.It can be seen from the simulation that,compared with other codebook designs,the proposed ?-GAM-SCMA algorithm can obtain better BER and PAPR performance.3.PA algorithms of the PD-NOMA system are studied.The performance of the four PA algorithms FSPA,FPA,FTPA,and IWPA are compared.A DC-VPA-based-JSBPA algorithm for joint optimization of sub-band and PA in MB system is proposed to complete the intersub-band dynamic PA,intra-sub-band PA,and sub-band user selection process to maximize the WSR performance of the system.Simulation shows that the proposed optimization algorithm can obtain better performance.4.User scheduling algorithms of MIMO-NOMA system are studied.The user clustering algorithms such as TSPA,RPA,PGPA and the beamforming algorithms such as DPC,SVD,and ZFBF are compared.An improved user scheduling algorithm is proposed.The precoding matrix is designed by cascading two spatial filters.The block diagonal beamforming technique is used to eliminate inter-cluster interference,beam optimization is performed for the strong and weak users in the cluster.In addition,a CO-PGPA user clustering algorithm which can take into account the channel gain difference and user channel correlation is also proposed.Simulation results show that the proposed algorithm has better performance and lower complexity.