Performance Optimization for Downlink MIMO Non-Orthogonal Multiple Access Systems with Zero-forcing Precoding Matrix

Abstract

With the development of network technology the number of personal mobile devices has increased reflecting the slow increase in people's demand for the network accompanied by the increase in data transmission needs so that we must continue to develop new technologies or combine old technologies Achieve higher throughput In recent years there are two technologies that are developmental in 5G network research The first is non-orthogonal multiple access (Non-Orthogonal Multiple Access NOMA) technology We can superimpose multiple users on the power domain For transmission each user can use the maximum bandwidth and use serial interference cancellation (SIC) at the receiving end to decode signals one by one and eliminate some of the interference to achieve the purpose of improving service quality; the second is Multi-Input Multi-Output (MIMO) technology uses multiple antennas to transmit and receive signals independently at the sending end and the receiving end This method can increase the description of the channel and greatly improve the restoration of the signal This paper studies in a single cell network serving multiple users with one base station combining non-orthogonal multiple access technology (NOMA) and precoding matrix in multi-input multiple output technology (MIMO) to explore the optimal system throughput a comparative analysis of the number of users and the distance between them The original model of the network system established in this paper is a non-linear programming problem It is linearly relaxed by piecewise-RLT and the mathematical simplification of the logarithmic term and the branch and cut method of CPLEX is used to obtain the best solution of the entire system

Date of Award	2020
Original language	English
Supervisor	Wen-Kuang Kuo (Supervisor)