The growth of the intelligent information world poses major challenges for the telecom industry in fulfilling the demands of future applications and incorporating societal and behavioural awareness into the Internet of Things (IoT) objects.
Social Digital Twins (SDTs), or digital twins enhanced with social capabilities, have the potential to drive digital transformation and meet the needs for connectivity, computing, and storage in dynamic 5G and beyond 5G networks.
Chukno's research proposes an orchestration for SDTs and a SIoT-Edge framework in line with the Multi-access Edge Computing (MEC) architecture established by the European Telecommunications Standards Institute (ETSI).
Chukno addresses the optimal placement of SDTs as a Quadratic Assignment Problem (QAP) and offers a graph-based approximation solution considering IoT device types, their social features, mobility patterns, and edge server limitations. The study also investigates the optimal intervals for re-optimizing SDT deployment at the network edge.
The results show that considering social features in SDT placement leads to significant improvements in SIoT browsing. With advancements in wireless communications, edge computing, and intelligent device technologies, the SIoT is poised to advance with pervasive sensing and computing capabilities, ensuring seamless connections among SIoT objects.
The impact of XR user mobility on communication and computing patterns
The study also presents a performance evaluation methodology for eXtended Reality (XR) services in edge-assisted wireless networks and proposes fluid approximations to describe XR content evolution. The approach captures content distribution's time and space dynamics during its transient phase, including time-varying loads affected by arrival, transition, and departure processes.
The study examines the impact of XR user mobility on communication and computing patterns. The results show that communication and computing are critical barriers to meeting real-time transmission requirements. With the trend toward immersive, interactive, and contextualized experiences, new use cases will affect user mobility patterns and system performance.
Public defence on 5 April 2023
The doctoral dissertation of MSc Olga Chukhno in the field of telecommunication Toward Dynamic Social-aware Networking Beyond Fifth Generation will be publicly examined at the department of Information Engineering, Infrastructure and Sustainable Energy at the University Mediterranea of Reggio Calabria, Reggio Calabria, Italy at 10.00 (CET) on Wednesday 5.4.2023. The Opponents will be Prof. Marcos Katz, University of Oulu; Prof. Ilenia Tinnirello, Università degli Studi di Palermo; Prof. Daniela Giovanna Anna Panno, Università degli Studi di Catania.
Photo: Angelo Tropeano