The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previous generations have experienced. To provide the readers with a clear map of the current developments, several review papers shared their vision and critically evaluated the state of the art. However, most of the work is based on general observations and the big picture vision, and lack the practical implementation challenges of the Internet of Things (IoT) use cases. This paper takes a novel approach in the review, as we present a sample of IoT use cases that are representative of a wide variety of its implementations. The chosen use cases are from the most research-active sectors that can benefit from 6G and its enabling technologies. These sectors are healthcare, smart grid, transport, and Industry 4.0. Additionally, we identified some of the practical challenges and the lessons learned in the implementation of these use cases. The review highlights the cases’ main requirements and how they overlap with the key drivers for the future generation of wireless networks.

Hospitals represent a busy environment with the majority of the medical operations relying on electricity, for example lighting and medical equipment. Hence, it is important to conserve it to ensure high quality of services, improve patients' wellbeing as well as to the reduction of the hospitals' carbon footprint and the impacts on the environment. The studies carried out in hospitals considered the use of renewable energy or the use of power efficient equipment to tackle the energy problem. The challenge remains open in how to tackle the energy problem in a hospital through behavioural change. This study represents a step into reducing electricity costs of Medway NHS Foundation Trust (MNFT) in the UK. The proposed idea is to use technology to persuade MNFT staff to monitor their behaviour and with the right motive, from selected and appointed energy delegates, sustain a pro-environmental behaviour. This paper describes the methodology and system proposed to reduce electricity costs in MNFT by inducing pro-environmental behaviour with the aid of technology. This involves a smart electricity metering system to collect and communicate energy data to a centralised server that pushes the data onto a dedicated web interface. Furthermore, addressing the psychological factors by appointing energy delegates to monitor the consumption, in selected areas, as well as motivate the staff members. In addition, monitoring human dynamics and analysing it against energy data to identify a relation between occupancy and electricity consumption trends in hospital wards.

No abstract

Wireless sensing is the state-of-the-art technique for next generation health activity monitoring. Smart homes and healthcare centres have a demand for multi-subject health activity monitoring to cater for future requirements. 5G-sensing coupled with deep learning models has enabled smart health monitoring systems, which have the potential to classify multiple activities based on variations in channel state information (CSI) of wireless signals. Proposed is the first 5G-enabled system operating at 3.75 GHz for multi-subject, in-home health activity monitoring, to the best of the authors’ knowledge. Classified are activities of daily life performed by up to 4 subjects, in 16 categories. The proposed system combines subject count and activities performed in different classes together, resulting in simultaneous identification of occupancy count and activities performed. The CSI amplitudes obtained from 51 subcarriers of the wireless signal are processed and combined to capture variations due to simultaneous multi-subject movements. A deep learning convolutional neural network is engineered and trained on the CSI data to differentiate multi-subject activities. The proposed system provides a high average accuracy of 91.25% for single subject movements and an overall high multi-class accuracy of 83% for 4 subjects and 16 classification categories. The proposed system can potentially fulfill the needs of future in-home health activity monitoring and is a viable alternative for monitoring public health and well being.

Keywordscommunications & control systems; information technology; land surveying society needs better maps of its ever-more congested cities -particularly for buried utilities, the locations of which are approximate at best. one of the most convenient surveying methods is to use global satellite-navigation systems, but 'urban canyons' are not ideal for satellite reception. This paper looks at the current and future status of the world's global navigation satellite system (gnss) constellations and the advantages they offer for positioning surveys. Tests using a satellite-navigation system simulator show that a large proportion of urban areas are indeed difficult to position to centimetre level using a single satellite constellation alone, but this could improve significantly with the addition of further constellations in the near future.satellite mapping in cities: how good can it get?