JNACSISSN:2582-3817

Power Allocation in MIMO-NOMA System using Improved CCS and PSO Algorithm

Abstract

In the multiple access issues, Non-Orthogonal Multiple Access (NOMA) obtains a hopeful solution and accomplishes the 5G networks requirements by intensification the QoS, such as enormous connectivity and energy effectiveness. Therefore, the Non-Orthogonal Multiple Access is expanded with the Multiple Input Multiple Output (MIMO) system to attain the power allocation of multiple users with the layered transmission. By exploiting the adopted Improved Chaotic Crow search (CCS)-and Particle Swarm Optimization (PSO) approach called Improved CCS-PSO, the optimal power allocation with the layered transmission is performed by the MIMO-NOMA system. In the MIMO-NOMA system, the developed optimization approach is obtained by utmost sum rate by power allocation at multiple layers of users. In addition, exploiting the CSI derives the closed-form expression for the average sum rate at the transmitter side. The Channel State Information (CSI) permits users to assign powers at multiple layers to improve the average sum rate. The adopted optimal power allocation approach performance is shown via the minimum Bit Error Rate (BER) and enhanced energy, spectral power, and attainable rate.

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