The brings together science and applications of wireless communications and networking technologies with emphasis on signal processing techniques and tools. The developed technologies as well as underlying signal processing methods directly support the achievement of the targets of the sustainable development goals. In particular goal 9 to build resilient infrastructure, promote sustainable industrialization and foster innovation is directly addressed.
We as wireless engineers are used to develop resource efficient communications systems. These are inherently devoted to low energy consumption, high spectral efficiency, exploiting frequency and time resources in the most efficient manner. As a result, the EURASIP JWCN hosts a number of special issues directly related to the sustainable development goals: . Advanced transceiver structures, implementation techniques, and waveform designs for mmWave communications are developed in a special issue on .
In order to promote inclusive and sustainable industrialisation, a key component is the Industrial Internet of Things (IIoT), by enabling a much more pervasive access to data and intelligent control of processes in different vertical applications. Substantial research, development and standardization efforts are then needed in order to design end-to-end (E2E) solutions for next-generation wireless industrial networks. The special issue on provide a platform for the timely exchange of research, findings and challenges encountered in building a practical Industrial Internet of Things. Another open special issue of EURASIP JWCN addresses . Mobile edge computing enables the millions of connected mobile devices to execute real-time applications directly at the network edge and provides sufficient mobility support.
Goal 9.1 is to develop quality, reliable, sustainable and resilient infrastructures. This implies resource efficiency and proportionality which in turn requires to develop accurate models of the resource consumption and utilisation. The Internet of Things as well as sensor networks collect and process data in almost every area of our modern society. Intelligent signal processing algorithms including machine learning helps to develop accurate .
Access to information and communications technology and thereby affordable access to the internet is goal 9.C. Modern wireless communications combined with unmanned aerial vehicles can provide fifth generation cellular network access without the need of infrastructure deployment. The optimal energy-aware operation of such flying base stations which provide 5G access is considered in .
Modern network infrastructure comprises huge number of wireless devices which operate so called system-on-chip. Sustainability of these massively deployed systems comprises robustness against security attacks. develops a physically uncountable functions based cryptographic security solution for these IoT systems on chip. The solution can be applied to upgrade the deployed IoT infrastructure according to goal 9.3.
Eduard Jorswieck received his Diplom-Ingenieur (M.S.) degree and Doktor-Ingenieur (Ph.D.) degree, both in electrical engineering and computer science from the Technische Universit?t Berlin, Germany. Since February 2008, he has been the head of the Chair of Communications Theory and Full Professor at Dresden University of Technology (TUD), Germany. Eduard's main research interests are in the area of signal processing for communications and networks, applied information theory, and communications theory. Since 2017, he is Editor-in-Chief of the Springer .
