Hybrid Mu-Mimo And Non-Orthogonal Multiple Access Design In Wireless Heterogeneous Networks

In order to meet the ever increasing mobile application proliferation and data traffic growth, next-generation wireless networks or 5G networks are under a revolutionary technology innovation path towards these goals. In this paper, we introduce a hybrid MU-MIMO and NOMA design scheme in wireless heterogeneous networks to improve the system throughput and also to increase multi-user diversity gains by exploiting the heterogeneous nature of the supporting wireless networks. The best user cluster is formed in a NOMA group and then a precoding based MU-MIMO scheme is applied to NOMA composite signals. The problem is further formulated as a resource scheduling optimization problem to achieve the proportional fairness. Aiming to ensure the global optimality, a brute-force search algorithm is used to solve the problem. Simulations results show that the proposed scheme can improve the overall system performance notably.