. They proposed a half-zero for- cing (ZF) technique which only reduces the interference from the cell-interior user signal. Meanwhile, SIC is used to remove the interference from the signal of the cell- edge user. A closed form expression for the beamforming vectors was derived under the half-ZF scheme. Compared with the conventional ZF method, the half-ZF can achieve lower power consumption. A combination of power allocation and beamforming in a downlink MIMO multi- user system which employs NOMA is presented in [11]. The study addresses a scen- ario where they divide users into two groups by users' QoS, specifically, the users in the first group are expected to be served whereas the users in the second group were required to reach target rates on their own. The proposed method showed a significant sum rate improvement. In [12], a multicast beamforming-aided superposition modulation (SPM) was investigated for multi-resolution broadcast. In the study, users' messages of low and high priorities were to be transmitted for the nearby user, while only a message of low priority is to be transmitted to a distant user. In [13], a multi-user NOMA beamforming problem was formulated as a semi-definite programming problem and generalized to include the conventional multi-user beamforming. The authors studied a low-complexity approach to decide successive interference cancellation sets for the generalized NOMA. They showed that their proposed method can have a better per- formance than the conventional BF. In [14], to increase the sum capacity, the author suggested a NOMA based multi- user system of beam forming. The suggested method shared a beamforming vector for two users, which means that the supported number of users is increased. They additionally proposed an allocation of a power and clustering algorithm for the mini- mization of interference and to enhance the sum capacity. In [15], NOMA with SIC in downlink multi-user MIMO cellular systems was investigated, at these points the quantity of antennas at the transmitte