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Collecting customer data is increasingly becoming an automatic process at different customer touchpoints, carried out with the help of artificial intelligence. Modern telecommunication networks are necessary for collecting this data in a timely manner. This chapter describes 5G, the latest generation of mobile telecommunication networks. It outlines the current stage of development and use cases being introduced or planned by telecommunication companies worldwide. A key aspect of the chapter is to explain what 5G means for collecting customer data.

COVID-19 has influenced the way we utilise the radio spectrum in terms of increasing data rates, the localisation of usage, and the transfer of traffic from urban to rural areas. Most regulators have shown sympathy towards operator requirements, stipulating a range of mitigation actions including allowing technology neutrality and temporary assignments. Internationally, the ITU-R suspended all physical meetings and launched a new global network resiliency platform named ‘REG4COVID’ to share experiences including those related to spectrum management.

It is argued in this chapter that the pandemic has supported the calls for additional unlicensed spectrum for Wi-Fi in the 6 GHz and accelerated the rollout of 5G. Moreover, despite of increasing use of streaming, it is quite difficult to assume that traditional linear TV will be replaced, at least in the near future for a variety of reasons. The pandemic has also raised the question as to whether an innovative assignment model could be used to assign the spectrum instead of auctions, and whether, in some countries where temporary assignments were made, frequencies are kept unutilised or reserved. Concerning international spectrum management, it is expected that WRC-23 will be held on time though there will be some implications for issues such as the regulatory time-limits for bringing into use satellite networks frequency assignments. Finally, it is argued that the pandemic has also demonstrated the importance of flexibility and agility in national spectrum management, and placed spectrum managers in a new position where they were forced to be proactive instead of their traditional reactive role.

Energy production and distribution is undergoing a revolutionary transition with the advent of disruptive technologies such as the Internet of Energy (IoE), 5G and artificial intelligence (AI). IoE essentially involves automating and enhancing the energy infrastructure: the power grid from grid operators to energy generators and distribution utilities. The IoE also relies on powerful connectivity networks such as 5G, big data analytics and AI to optimise its operation. By incorporating the technology that employs ubiquitous devices such as smartphones, tablets or smart electric vehicles, it will be possible to fully exploit the potential of IoE using 5G networks. 5G networks will provide high speed connections between devices such as drones, tractors and cloud networks, to transfer huge amounts of sensor data. Additionally, there are many sources of isolated data across the main energy production units (generation, transmission and distribution), and the data is increasing at phenomenal rates. By applying AI to these data, major improvements can be brought at each stage of the energy production chain. Tying renewable energy to the telecommunications sector and leveraging on the potential of data analytics is something which is gaining major attention among researchers and industry experts. This chapter therefore explores the combination of three of the most promising technologies i.e. IoE, 5G and AI for achieving affordable and clean energy, which is SDG 7 in the UN Sustainable Development Goals (SDGs).