Non-orthogonal multiple access (NOMA) is one of techniques for improving the spectral efficiency and system capacity in 5G. It becomes one of study items in the beyond 5G era. In this project, we will investigate resource allocation problems to maximize capacity for an uplink beamforming multicarrier NOMA system. The resource allocation problems include the user selection and pairing, power allocation, and subcarrier allocation issues. As in the 5G standard, OFDM is still considered for the multicarrier transmission and therefore, we also adopt OFDM as our multicarrier transmission method. Previously, we have developed a user selection and grouping algorithm for uplink beamforming NOMA systems. The related power control algorithm is also developed. The scenario is a single carrier system. The simulation results show the proposed method outperform the existing method. There is some gap and room to improve towards the optimal solution. In the first year of the project execution, we are going to improve the performance by utilizing the idea of the previous proposed algorithm for downlink beamforming NOMA systems. After that, the proposed refined algorithm will be extended for OFDM-based multicarrier systems in the project. Besides, based on the uplink beamforming NOMA property, the parameters of users’angles of arrival will be utilized for the user selection and grouping algorithm design. In the second year of the project execution, on the other hand, we have also study the effect of imperfect channel information by performing the resource alloation algorithms. Therefore, in the project, we are going to study the impact of the imperfect channel on the resource allocation algorithm design. Zero-forming, minimum mean squared error, and AOA-based beamforming methods will be considered. The above design approaches are based on the rate maximization problem formulation. The criterion of the quality of service (QoS) of the rate and error rate constrains will also be considered for the algorithm design of the uplink systems during the project execution, which is seldom considered in the literature.
Status | Finished |
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Effective start/end date | 1/08/19 → 31/07/20 |
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In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):