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. This PhD project investigates how emerging Next-Generation Networks (NGNs), including Beyond-5G (B5G) and 6G, can be connected to ensure secure, high-performance mission-critical communications, vital
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the ‘6G’ bands, the midband FR3 (7-24 GHz); could also incorporate multi-standard like Wi-Fi, 5G-A and 6G together; will efficiently use the spectrum, spatial, and power resources to effectively perform
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of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking
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technology and research. Trends and applications that are prominent include those related to simulation of 5G systems, biomedical applications to simulate electromagnetic fields in human tissue, metamaterials
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include Post Luxembourg (https://www.post.lu/) and Ohmio Europe (https://ohmio.com/). More information on the 5G Bridges programme can be found here: https://www.fnr.lu/results-5g-bridges-call/ This PhD
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communication delivers data to specific group of users simultaneously. Despite its efficiency, multicast faces technical complexities, especially in LTE and 5G networks [5], [6]. Traditionally, multicast bitrate
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors
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of this project is on a holistic investigation of energy efficiency in next-generation mobile networking systems. In the past decade, on the road to 5G, there has been a transformation in the mobile networking
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candidate will analyze massive Key Performance Indicators (KPIs) and service-level demands collected in operational 4G/5G networks, and draw insights on their dynamics and long-term evolution as the 5G
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that are part of the 5GDrive consortium. This PhD project focuses on developing a tele-operated driving system for autonomous vehicles using 5G technology. The aim is to create a low-latency, high-throughput