## 6 Internet of Things (IoT)
### Smart Cities  
This section details the research that was done to examine smart home IoT design features, architecture, and feasibility in terms of 5G and 6G.  
Two publications [210; 211] proposed upgrading current infrastructure to host cloudlets on a city-wide scale, allowing smart cities to provide new services to inhabitants. The findings suggest that updating a small number of access points can result in city-wide cloudlet coverage.  
Three articles [212; 213; 214] look at the latest cooperative MIMO antenna technologies, which are the bridging technologies to 5G, by first looking at the benefits of cooperative MIMO in smart city applications like smart transportation, home automation, and security, and then evaluating the impact of cooperative MIMO technologies on achieving higher spectral efficiency.  
Some articles [215; 216; 217; 218; 219; 220] point to unsolved issues and emphasise the necessity for piloting with 5G apps in order to better understand the setup of 5G networks and the use of applications in a variety of vertical industries. In a typical smart house, you can see numerous topologies and configurations employing ZigBee communication. Dedicated to smart homes and, in particular, ZigBee as a smart data collection element. In addition, the IoT SoftRadio tool is introduced, and NB-IoT UEs sharing scenarios are summarised.  
Finally, using the current NB-IoT radio performance management framework. Discuss the state of the art in the topic of call admission control in 5G networks. Which study will be carried out in order to propose and create an algorithm for admission control modelling in the situation of New Radio access, namely NR 5G? An RNN-based arrival angle predictor was proposed in two studies [221; 222] to predict the particular communication location of UAVs in 5G IoT networks. To make the training process easier and more effective, a grid-based coordinate system is used during data preparation.  
One article [223] aimed to chart the major directions and scope emerging dimensions inherent to 6G technology, including digital twins and immersive realities that, development and application of 6G, noting its numerous potential benefits in tackling a variety of urban challenges, including environmental dimensions, needs to be accompanied by political policy agendas supporting sustainability transnationally.  
The authors of [224] designed a system based on 6G network communication standards for the next IoT level. Water flow management, wind shield control, security concerns, and carbon dioxide limitation via adaptive ventilation are all effective with the proposed control approach. The infrastructure has been developed to support the new 6G communication standard, which will improve efficiency and data flow at the end-user device and local area level.  
A framework for DAIaaS provisioning for IoE and 6G contexts was proposed in one study [225]. Because the actual training and inference computations are divided into smaller, concurrent computations tailored to the degree and capacity of resources accessible with cloud, fog, and edge layers, the AI service is called \"distributed\". To study the design choices and performance bottlenecks of DAIaaS, multiple DAIaaS provisioning settings for distributed training and inference are provided.  
Another article [226] offered a conceptual design for job off-loading and resource allocation dubbed the typical model. Second, expand on the traditional paradigm to include intelligence for work off-loading and resource allocation, produce particular research questions in order to build and evaluate the performance of various units within the above-mentioned models in order to accommodate technological improvements such as the employment of AI in the 6G wireless communication era.