In 5G cellular communications, Non-Orthogonal Multiple Access (NOMA) is the advanced radio access technique. Compared to other Orthogonal Multiple Access (OMA) schemes, NOMA is more efficient and supports a large number of users. However, as the number of users increases, OMA based schemes may not meet the emerging requirements such as very high spectral efficiency, very low latency, and massive device connectivity. NOMA allows access to several users in the same resource block, such as a time slot, subcarrier, or spreading code. This work mainly emphases on the power domain NOMA with Multiple Input Multiple Output (MIMO), which combines many users in the power domain and uses channel gain difference between multiple users. Various user signals can also spread over the channel at the transmitter side. Due to the availability of multi-users, the SIC on the receiver side cannot be able to perform the sequential decoding of the users. Whale Rank Successive Interference Cancellation (WRSIC) overcome the limitation in the existing SIC by ranking the user for successive cancellation of interference in the system. A WRSIC based Multi-User Detection (MUD) algorithm is used on the receiver side to identify the signal required. Thus, the novel WRSIC-MIMO NOMA method maximizes the channel capacity and eliminate the interference. Simulation results show the performance of the proposed scheme with different parameters and the comparison with the other schemes. © 2021 Taylor's University. All rights reserved.