ABSTRACT

Non-orthogonal multiple access (NOMA) attains a promising result for the several access problems and fulfils the requirements of fifth-generation (5G) networks by strengthening the service quality, like massive connectivity and energy efficiency. To achieve the power allocation of multiple users with the layered transmission, the NOMA is extended with the multiple input multiple output (MIMO) system. In this work, the allocation of power in MIMO–NOMA is optimally done with the layered transmission by the developed Fractional Salp Particle Swarm Optimisation (FSPSO) algorithm. In the MIMO–NOMA, the implemented FSPSO algorithm attained the better sum rate using allocating the powers at multiple layers of users. Also, the closed-form phrase is formed for the achievable sum rate using the Channel State Information (CSI) existing at the side of transmitter. To increase the achievable sum rate, the CSI permits the users to assign the powers at various layers. The proposed algorithm optimally allocates the power with the lower Bit Error Rate (BER) of 0.00039 and better energy efficiency, spectral power, and achievable sum rate of 20.8134 J, 181.660 dB, and 110.615 dB, respectively.

摘要

非正交多址接入 (NOMA) 在解决多种接入问题方面取得了可喜的成果，并通过增强服务质量（如大规模连接和能源效率）来满足第五代 (5G) 网络的要求。为了通过分层传输实现多用户的功率分配，NOMA被扩展为多输入多输出（MIMO）系统。在这项工作中，MIMO-NOMA 中的功率分配是通过开发的分数萨尔普粒子群优化 (FSPSO) 算法通过分层传输优化完成的。在 MIMO-NOMA 中，实现的 FSPSO 算法通过在多个用户层分配功率来获得更好的和速率。还，使用存在于发射机侧的信道状态信息（CSI）为可实现的和速率形成封闭形式的短语。为了增加可实现的总和率，CSI 允许用户在各个层分配功率。所提出的算法以较低的误码率 (BER) 0.00039 和更好的能量效率、频谱功率和可实现的和速率分别为 20.8134 J、181.660 dB 和 110.615 dB 来优化分配功率。