5G系统中非正交多址接入技术的研究
[Abstract]:The fifth generation mobile communication (5G) is not only to achieve explosive growth of data traffic, but also to solve the problems of large-scale connection and low latency. In order to meet these challenges, NOMA (Non-Orthogonal Multiple Access) can make use of the degree of freedom in power domain to improve spectral efficiency and become one of the key technologies of 5G. NOMA allows multiple users to share spectrum resources with different transmit power. And the serial interference cancellation receiver is used to realize multi-user detection. But on the one hand the performance of the receiver depends heavily on the superimposed transmission user selection and power allocation scheme because the NOMA only distinguishes the signals of different users according to the characteristic of the ratio of signal to interference plus noise. On the other hand, beamforming technology can suppress interference and improve data rate, but the stability of NOMA beamforming design is poor due to the estimation error of channel state information (Channel State Information,CSI). In order to solve the problem that the performance of NOMA receiver depends heavily on user matching and power allocation scheme, this paper studies the user packet and power allocation algorithm in multicarrier NOMA system. Specifically, under the constraint of total transmit power, the weighting and rate performance optimization of multicarrier NOMA downlink is studied. Due to the combination of subcarriers, the nonlinear programming problem is solved in two steps. First, a user dynamic grouping scheme is proposed. By maximizing the channel gain difference of all matched users, the proposed scheme can improve the system throughput. Then, WMMSE algorithm is used to solve the non-convex power allocation problem. The local optimal solution can be obtained by low complexity iterative optimization. The convergence and effectiveness of the algorithm are verified by simulation. Aiming at the problem that the performance stability of NOMA beamforming system is affected by the CSI estimation error, the robust beamforming design in single-carrier NOMA with multiple input and single output channels is studied in this paper. Specifically, two types of CSI errors are considered: second order bounded CSI error and second order unbounded CSI error. In the bounded CSI error model with elliptic domain constraints, this paper presents the target rate maximization problem of user uninterrupted decoding under transmit power constraints. In order to solve this problem, it is first decomposed into a series of optimization problems with minimum power consumption. By using convex optimization theory, stable beamforming vector can be obtained, and high rate performance can be obtained with CSI error. In the second order unbounded CSI error model, this paper studies the optimization problem of minimizing transmission power with the quality of service satisfying the outage probability of the user. The constraint of outage probability makes the original problem difficult to deal with. By solving this problem, a robust beamforming vector which can satisfy the requirement of interrupt probability is obtained. Simulation results verify the robustness and effectiveness of the proposed algorithm.
【学位授予单位】:中国矿业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN929.5
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