_Applied_  
_sciences_  
_From 5G to 6G Technology: Meets Energy, Internet-of-Things_  
and Machine Learning: A Survey_  
**Mohammed Najah Mahdi 1,*(r)**, Abdul Rahim Ahmad 2, Qais Saif Qassim 3, Hayder Natiq 4,  
**Mohammed Ahmed Subhi 5 and Moamin Mahmoud 1 (r)**  
Footnote 1: [[https://www.mdpi.com/journal/applsci](https://www.mdpi.com/journal/applsci)]([https://www.mdpi.com/journal/applsci](https://www.mdpi.com/journal/applsci))  
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voice recognition, eye-tracking, and brainwaves. The 6G mobile communication networks are expected to offer up to 100 per cent gain in energy efficiency over their predecessors, the 5G networks, and a highly complex structure due to vast interconnections. Statistical studies show that there will be an increase of mobile data traffic at a rate of 55 per cent annually [2]. By the year 2030, that generated traffic will cross five zettabytes (\(10^{21}\)) every month. With this massive volume of data generated, there should be a mechanism to handle and manage the network at various levels. To this end, the application of Artificial Intelligence (AI) will be heavily dependent on the next-generation wireless network. It is interesting to consider how the Internet-of-Things (IoT) enabled devices will communicate [3]. IoT is a crucial technology for attaining the \"social information infrastructure\" [4], where it can be used to visualise and simplify complicated and mutually related societal problems in the real world. In this study, we present a critical analysis of 5G wireless networks' significant technological limitations with respect to the expected advancement in three major domains: energy, Internet-of-Things, and machine learning. Moreover, the study also presents a review of the anticipated challenges of the 6G communication networks. The overall contribution is presenting a visionary framework on how the 6G should look like to support the applications of these domains. Contribution: This article aims to draw a complete picture of \"how the 5G to 6G Technology: meets Energy, Internet-of-Things and Machine Learning?\". We cover different dimensions and aspects of 5G and 6G focusing on the projected 5G and 6G system architecture, potential technologies, an overview of an existing technique, analysis of ML usage in incorporating energy and IoT in 5G and 6G, applications, and use cases. The taxonomy of the paper is shown in Figure 1, which gives a pictorial view of all sections and subsections presented in this paper. The contributions of this article are summarized as follows. * We discuss in detail the projected 6G system architecture. Also, the existing research literature reveals that providing full-dimensional advantages of the 6G technology; will 5G application types will be reconsidered by modifying the traditional URLLC, eMBB, and mMTC and providing new services. * We discuss the primary aims, vision, and trends for 6G network dimensions that include our vision of 6G and IoT and machine learning applications for autonomous networks and revolutionary energy efficiency, which are discussed in detail throughout this paper.