The ambitious high data-rate applications in the envisioned future beyond fifth-generation (B5G) wireless networks require new solutions, including the advent of more advanced architectures than the ones already used in 5G networks, and the coalition of different communications schemes and technologies to enable these applications requirements. Among the candidate communications schemes for future wireless networks are non-orthogonal multiple access (NOMA) schemes that allow serving more than one user in the same resource block by multiplexing users in other domains than frequency or time. In this way, NOMA schemes tend to offer several advantages over orthogonal multiple access (OMA) schemes such as improved user fairness and spectral efficiency, higher cell-edge throughput, massive connectivity support, and low transmission latency. With these merits, NOMA-enabled transmission schemes are being increasingly looked at as promising multiple access schemes for future wireless networks. When the power domain is used to multiplex the users, it is referred to as the power domain NOMA (PD-NOMA). In this paper, we survey the integration of PD-NOMA with the enabling communications schemes and technologies that are expected to meet the various requirements of B5G networks. In particular, this paper surveys the different rate optimization scenarios studied in the literature when PD-NOMA is combined with one or more of the candidate schemes and technologies for B5G networks including multiple-input-single-output (MISO), multiple-input-multiple-output (MIMO), massive-MIMO (mMIMO), advanced antenna architectures, higher frequency millimeter-wave (mmWave) and terahertz (THz) communications, advanced coordinated multi-point (CoMP) transmission and reception schemes, cooperative communications, cognitive radio (CR), visible light communications (VLC), unmanned aerial vehicle (UAV) assisted communications and others. The considered system models, the optimization methods utilized to maximize the achievable rates, and the main lessons learnt on the optimization and the performance of these NOMA-enabled schemes and technologies are discussed in detail along with the future research directions for these combined schemes. Moreover, the role of machine learning in optimizing these NOMA-enabled technologies is addressed.

中文翻译：

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使用未来无线网络的使能技术对速率最优功率域 NOMA 进行调查

在超越第五代 (B5G) 无线网络的设想未来，雄心勃勃的高数据速率应用需要新的解决方案，包括比 5G 网络中已经使用的架构更先进的架构的出现，以及不同通信方案和技术的联盟以启用这些应用程序要求。在未来无线网络的候选通信方案中，非正交多址 (NOMA) 方案允许通过在频率或时间以外的其他域中复用用户来为同一资源块中的多个用户提供服务。通过这种方式，NOMA 方案倾向于提供优于正交多址 (OMA) 方案的几个优势，例如提高用户公平性和频谱效率、更高的小区边缘吞吐量、大规模连接支持和低传输延迟。凭借这些优点，支持 NOMA 的传输方案越来越多地被视为未来无线网络的有前途的多址接入方案。当电源域用于复用用户时，称为电源域NOMA（PD-NOMA）。在本文中，我们调查了 PD-NOMA 与支持通信方案和技术的集成，这些方案和技术有望满足 B5G 网络的各种要求。特别是，本文调查了文献中研究的不同速率优化场景，当 PD-NOMA 与 B5G 网络的一种或多种候选方案和技术结合时，包括多输入单输出 (MISO)、多输入-多输出 (MIMO)、大规模 MIMO (mMIMO)、高级天线架构、更高频率的毫米波 (mmWave) 和太赫兹 (THz) 通信，先进的多点协作 (CoMP) 传输和接收方案、协作通信、认知无线电 (CR)、可见光通信 (VLC)、无人机 (UAV) 辅助通信等。详细讨论了所考虑的系统模型、用于最大化可实现速率的优化方法，以及在这些支持 NOMA 的方案和技术的优化和性能方面的主要经验教训，以及这些组合方案的未来研究方向。此外，还讨论了机器学习在优化这些支持 NOMA 的技术中的作用。无人机（UAV）辅助通信等。详细讨论了所考虑的系统模型、用于最大化可实现速率的优化方法，以及在这些支持 NOMA 的方案和技术的优化和性能方面的主要经验教训，以及这些组合方案的未来研究方向。此外，还讨论了机器学习在优化这些支持 NOMA 的技术中的作用。无人机（UAV）辅助通信等。详细讨论了所考虑的系统模型、用于最大化可实现速率的优化方法，以及在这些支持 NOMA 的方案和技术的优化和性能方面的主要经验教训，以及这些组合方案的未来研究方向。此外，还讨论了机器学习在优化这些支持 NOMA 的技术中的作用。