The application of multiple-input multiple-output (MIMO) techniques tonon-orthogonal multiple access (NOMA) systems is important to enhance theperformance gains of NOMA. In this paper, a novel MIMO-NOMA framework fordownlink and uplink transmission is proposed by applying the concept of signalalignment. By using stochastic geometry, closed-form analytical results aredeveloped to facilitate the performance evaluation of the proposed frameworkfor randomly deployed users and interferers. The impact of different powerallocation strategies, such as fixed power allocation and cognitive radioinspired power allocation, on the performance of MIMO-NOMA is alsoinvestigated. Computer simulation results are provided to demonstrate theperformance of the proposed framework and the accuracy of the developedanalytical results.
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