Sökning: "Beamforming"
Visar resultat 11 - 15 av 115 uppsatser innehållade ordet Beamforming.
11. Reconnaissance Radar Robot
Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : During the last century, various countries' armed forces have used unmanned aerial vehicles, commonly known as drones. In recent years, strives have been made to develop small commercial drones that have allowed the general public to afford and use them for recreational purposes. LÄS MER
12. Initial access for 5G mmWave private networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research delves into wireless communication systems, with a particular focus on initial access processes, channel modeling, and beamforming strategies. The study involves meticulous channel data collection across diverse urban, suburban, and rural terrains, each presenting unique propagation challenges. LÄS MER
13. Ultraljudtomografi av jordkropp -Invertering av två signaler
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Geoteknik; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : Syftet med detta examensarbete är att vidareutveckla en analysmodell inom deformationslokalisering för att få en bredare kunskap om det mekaniska beteendet hos ett geomaterial. Undersökning av lokala egenskaper hos ett jordprov kräver en fullfältsmätnin-gsteknik som i detta arbete är ultraljudstomografi. LÄS MER
14. Beam selection using Machine Learning in Massive MIMO systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In mobile communications the demand for increased capacity and speeds is a constant. 5G NR is the latest generation which is now seeing widespread adoption. Crucial technologies like Massive MIMO and beamforming are enabled by the use of large antenna arrays. LÄS MER
15. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. LÄS MER