Dr. Rodney Martinez Alonso

INTEC-WAVES Ghent University (Belgium) and LACETEL (Cuba)

Multi-Objective Optimization of Dynamic Spectrum Access Networks

Rodney Martinez Alonso was born in 1987 in Havana, Cuba. In 2010, he obtained a B.Sc. degree in Telecommunications and Electronics Engineering and a in 2015 a M.Sc. degree on Digital Systems from the Higher Polytechnic Institute CUJAE, Havana, Cuba. Since 2010, he is a fellow researcher at LACETEL, Research and Development Telecommunications Institute. He also has collaborated on broadcasting engineering projects with industrial manufacturers from China. In 2016 he joined WAVES group (Department of Information Technology – INTEC, Ghent University) where his main research has focused on dynamic spectrum access technologies. This work lead to a PhD degree on Electrical Engineering from Ghent University in June 2020. Currently he is a post-doctoral researcher at Ghent University (Belgium) and LACETEL (Cuba).

ResearchGate: https://www.researchgate.net/profile/R_Martinez_Alonso/research

Abstract: The lack of spectrum availability for satisfying the exponential increase in wireless services demand has become an important concern in the wireless communication community. Paradoxically, several spectrum measurements campaigns have demonstrated that most of the spectrum is not in use or is sub-utilized. These surveys for different spectrum bands show that less than 20% of the spectrum is used at any given location and instant of time. The allocation of spectrum at higher frequency bands has a significant impact on the network investment and operational cost compared to the same technological solution at lower spectrum bands. The improvement of technologies’ spectral efficiency has helped to cope with the inefficient static allocation of spectrum. However, there is not a wide margin for improving the spectral efficiency of communication technologies, considering that the state-of-the-art of radio technologies are just 1 dB from the Shannon limit. Hence, the main problem with spectrum scarcity is not related to the technology efficiency itself but how to use it efficiently.

Dynamic spectrum management might have a higher impact on the efficient exploitation of the spectrum. Cognitive radio has become a flexible solution to overcome spectrum scarcity by opportunistically exploiting the spectrum. Cognitive radio technologies allow dynamic access of the spectrum, by sensing, detecting and allocating empty portions of the spectrum. Television White Space (TVWS) technologies have been a leading technology in the field of dynamic spectrum access. TVWS technologies have taken advantage of the excellent propagation conditions in the Ultra High Frequency (UHF) band for providing cost-effective wireless connectivity solutions in rural and suburban underserved areas (e.g., Microsoft Airband Initiative). Beside TVWS applications, manufacturers like CISCO are using dynamic access technologies for managing the spectrum assignment in Wireless Local Area Networks based on WiFi. Similarly, Ericsson 5G platform will dynamically allocate the spectrum for 4G and 5G users.

In this context, we developed a multi-objective optimization algorithm for dynamic spectrum access networks based on cognitive radio technology. Pareto modelling is realized for quantifying the trade-off among three Key Performance Indicators (KPIs): power consumption, spectrum utilization, and global network exposure. Instead of the traditional distributed architecture for the spectrum management, a cloud-based architecture is considered in our network planning. Compared to the traditional cognitive radio network, the proposed architecture and optimization algorithm reduced the network power consumption by 27.5%, the average network global exposure by 34.3%, and spectrum utilization by 34.5% for the best trade-off among the three KPIs. The interference to the primary service is also reduced at least by 27% in rural and suburban areas. The centralized architecture also allows the coexistence of heterogeneous networks with different physical and medium access control layers, as the information exchange occurs in a higher layer.

Dr. Eduardo Garro Crevillen

Universitat Politecnica de Valencia (Spain)

iNGENIOUS: Next Generation IoT for the Next-Generation Supply Chain

Eduardo Garro received the M.Sc. and PhD degrees in telecommunications engineering from the Universitat Politecnica de Valencia, Spain, in 2013 and 2018, respectively. He is an R&D Engineer with Institute of Telecommunications and Multimedia Applications (iTEAM), where he participated on the standardization, planning and optimization of DVB-T2 and ATSC 3.0 networks. He was leading the 5G point-to-multipoint air interface design within the 5G PPP project 5G-Xcast, and also participated in the IMT-2020 evaluation of 5G. His research activities are focused on 5G-IoT radio and core network accesses. He was awarded with the Best Student Paper Award at 2018 IEEE BMSB Symposium and 2020 Best Paper in IEEE Transactions on Broadcasting.

ResearchGate: https://www.researchgate.net/profile/Eduardo_Garro

Abstract: In the last 10 years, Internet of Things (IoT) is deeply transforming every sector subject to be digitalized in a way that it is redefining the traditional way of living and working. One of the main verticals that has the potential to grow due to the introduction of IoT is the industrial sector, which ranges from manufacturing, to smart mobility and logistics, forming a complete end-to-end supply chain, and representing about one half of the global economy. However, new functionalities will be needed to support next-generation automation, or wide area track-and-trace operations with enhanced scalability compared to current IoT systems. IoT is therefore called to evolve into more trusted and energy-efficient smart networks and infrastructures by leveraging thriving technologies, piloting and applying technologies such as tactile and cognitive sensors and actuators, trustworthy Distributed Ledger Technologies (DLT), decentralised edge architectures, or future cost-effective communi­cation systems based on Artificial Intelligence (AI) and Machine Learning (ML) to traditional supply chain. Under this paradigm, iNGENIOUS (Next-GENeration IoT sOlutions for the Universal Supply chain) will exploit some of the most innovative and emerging technologies in line with the standardised trend, contributing to the Next-Generation IoT, and proposing technical and business enablers to build a complete platform for supply chain management solutions. The project will bring to light a system-wide and global perspective that will pave the way for European parties to achieve a universal practical leadership capability.