# 6G Mobile Networks: Key Technologies, Directions, and Advances
## 3 6G Market Overview and Current Status
### 6G Applications
The appeal of clustered IoT stations led to the creation of a station grouping technique based on intra-cluster NOMA communication, which allows UAVs to broadcast radio transmissions to IoT terminals [35]. A synergistically optimal outcome of UAV path prediction and subplot allocation is reached by splitting the down-link transfer of energy and up-link data transfer subplots. A three-dimensional non-stationarity geometrical probabilistic model based on AV elevation, spatial consistency, and three-dimensional random UAV motion routes is constructed in order to accomplish this, and it makes use of a variety of channel arrangements [34]. * 6G for Satellite-Internet-of-Things (SIoT): It is essential to integrate satellite technology into current wireless connections if widespread IoT connectivity is to be achieved with 6G. Theoretically, satellites consist of three main network levels, namely LEO, MEO, and GEO, to provide global operations to terrestrial Internet of Things (IoT) customers. But in the 6G network, several satellites might be deployed in hundreds of orbits just above the earth, enabling LEO systems to truly achieve global reach and improved efficiency through frequency reuse. In addition, inter-satellite linkages will be constructed to enable interactions between satellites using THz bands, which have a much wider bandwidth than their mmWave and optical equivalents and can accommodate more satellites while attaining higher link stability. Every IoT device actually has to develop an asynchronous procedure by choosing one accessible preface from the offered preface collection for transmitting data in order to interact with the ground station through the uplink ports. In order to conduct yet another fractional time advance estimate and minimise extra signalling complexity and energy costs, an improved preface sequencing method is provided [34]. 6G for Industrial-Internet-of-Things (IIoT): The Industrial IoT area has recently looked at the functions of 6G. Given the scarcity of IIoT devices, sensors are frequently deployed at random, which adds needless energy expenditures. Big data, prediction based on neural training algorithms, and engagement during the learning phase with historical datasets are all effective methods for doing smart sensor grouping using Convolutions. Much improved resource management with less energy use and much less complexity is confirmed by simulation analysis. By considering block size, CPU and memory utilisation, and network latency, a unified fog cloud computing architecture is used to manage blockchain information analytics. The 6G-IIoT apps that may use information learning to explain their very complicated design and extraordinarily large data quantities should pay special attention to this. Additionally, using UAVs for space-to-terrestrial communication has the significant potential to increase smart farming by enabling aerial-based soil measuring using their sensor system across a wide area of coverage. So, in order to give a comprehensive picture of a farm for automated development of land output, UAVs may also be used to assist crop photography from a low height. While 6G offers the IIoT previously unheard-of advantages, privacy and security pose serious obstacles that must be overcome [36].