Transmitter Pattern Design And Power Allocation Optimization Of PDMA

Pattern Division Multiple Access(PDMA)is a new type of non-orthogonal multiple access technology that combines the design of transmitters and receivers.In the transmitter,multiple user signals are multiplexed and transmitted in time domain,frequency domain and space domain Simultaneously The receiver adopts the SIC receiver algorithm for multi-user detection to achieve non-orthogonal transmission of uplink and downlink,and approximates the channel capacity of the multi-user channel.However,the current research on PDMA technology is not in-depth,most of which are about the most basic theoretical simulation verification,and the basic system model description are different.To this end,this paper has carried out a comprehensive arrangement for the PDMA transmitter design and power allocation scheme,and based on this,combined with the SWIPT technology for more in-depth application research,including:First,the PDMA general system model is given based on the basic PDMA principle.The PDMA technology evolved from the basic NOMA technology.According to the PDMA superposition transmission rule,we give the general system model of the PDMA system in the uplink and downlink,and briefly explain the key technologies of the PDMA transmitter and receiver.Secondly,for the user requirements of 5G in eMBB,mMTC and URLLC scenarios,different PDMA pattern design principle are designed to enable PDMA technology to be applied to 5G scenarios.The performance analysis and the simulation analysis are carried out according to the patterns searched by different design criteria to verify its effectiveness.Based on this,the distribution scheme and the system power allocation scheme of the pattern are further given.Thirdly,due to the limited application research of PDMA,this thesis experimentally combines the PDMA technology with SWIPT,and proposes a system that can transmit information and harvest energy.Since the throughput optimization problem of the new system combined with SWIPT is difficult to solve,we propose an iterative optimization algorithm to jointly optimize the power for user information decoding and the power used for energy harvesting,and transform the target problem into convex by introducing intermediate variables.The problem was optimized,and finally the effectiveness of the system was verified by simulation.The work of this thesis mainly provides theoretical and method support for the application of PDMA technology under 5G scenarios,aiming at solving the challenges brought by the differentiated performance indicators in 5G diversified application scenarios.