Sökning: "Radio Network Simulation"
Visar resultat 1 - 5 av 106 uppsatser innehållade orden Radio Network Simulation.
1. 3D Modeling of Factory Scenarios for 5G Evaluations
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 5G is a key enabler for a variety of use cases in smart manufacturing which requires communications with high reliability and low latency. In a dynamic industrial environment, objects such as machines, production lines, storage shelves, robotic arms, and automatically guided vehicles may cause fading and have a large impact on radio propagation. LÄS MER
2. Deep Learning for the prediction of RASER-MRI profiles
Master-uppsats, Linköpings universitet/Medie- och InformationsteknikSammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER
3. Dissemination of Geographic Location Data in Low Bandwidth Radio Networks
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : On the battlefield, having accurate positions of allied troops is crucial for making effective decisions. However, obtaining this information can be challenging, particularly outside of one's own battalion network. LÄS MER
4. Development of a C-RAN Fronthaul Simulator
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cellular networks have significantly transformed the way we communicate and access data and the data rates have only been increasing for the last 30 years. 5G is the current generation of cellular networks and enables faster data rates and lower latency. LÄS MER
5. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. LÄS MER