Currently, wireless systems are moving towards implementing fifth-generation (5G) wireless networks to compensate for intense growth and surpass demands concerning future wireless services. Consequently, massive multiple-input multiple-output (mMIMO) and multi-carrier code-division multiple access (MC-CDMA) have received considerable attention for addressing the prevailing constraints in developing 5G mobile networks. To meet requirements related to future wireless services such as achieving elevated data rates, avoiding multi-user co-channel interference (CCI), and satisfying other network limitations, implementing MC-CDMA with mMIMO has become mandatory. In this study, a detailed literature review is conducted on research for implementing MC-CDMA and mMIMO, and it is determined that the utilised methods fail to effectively solve previous issues. Thus, this paper proposes combining an optimal spectrum sharing (OSS) protocol and optimal linear precoding (OLP) with MC-CDMA and mMIMO. The OSS protocol provides an optimal allocation of power with improved quality of service. It is utilised to provide resource allocation with energy efficiency and high spectrum efficiency. Additionally, implementing OLP maximises the system capacity of MC-CDMA-based mMIMO wireless networks. Further, the performance of OLP is improved by introducing the salp swarm algorithm, which helps in finding the optimal precoding vector for the respective system. The proposed methods were employed in MATLAB for analysing system parameters, including the bit error rate (BER), signal-to-noise ratio, and system capacity. Moreover, the proposed work is contrasted with existing methods based on zero-forcing (ZF), regularised ZF (RZF), space–time RZF, minimum mean square error, and a relay precoder.

当前，无线系统正朝着实施第五代（5G）无线网络的方向发展，以补偿快速增长的需求并超越对未来无线服务的需求。因此，大规模的多输入多输出（mMIMO）和多载波码分多址（MC-CDMA）在解决5G移动网络发展中的主要约束问题方面受到了广泛关注。为了满足与未来无线服务相关的要求，例如实现更高的数据速率，避免多用户同信道干扰（CCI）并满足其他网络限制，以mMIMO实施MC-CDMA已成为强制性要求。在这项研究中，进行了有关实现MC-CDMA和mMIMO的研究的详细文献综述，并确定所采用的方法未能有效解决先前的问题。因此，本文提出将最佳频谱共享（OSS）协议和最佳线性预编码（OLP）与MC-CDMA和mMIMO相结合。OSS协议可通过改进的服务质量提供最佳的电源分配。它用于提供具有能源效率和高频谱效率的资源分配。此外，实施OLP可最大程度地提高基于MC-CDMA的mMIMO无线网络的系统容量。此外，通过引入salp swarm算法可以提高OLP的性能，该算法有助于找到各个系统的最佳预编码向量。所提出的方法已在MATLAB中用于分析系统参数，包括误码率（BER），信噪比和系统容量。此外，将拟议的工作与基于零强迫（ZF）的现有方法进行了对比，