Sökning: "strålformning"

Visar resultat 1 - 5 av 12 uppsatser innehållade ordet strålformning.

1. 1. A Travelling Wave Slot Array based on a Double-Layer Lens for 77 GHz Automotive Radar

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ashray Ugle; [2023]
   Nyckelord :Automotive radar; Double-layer lens; Gap waveguide technology; Waveguide slot; Antenna array; Lens-beamforming.; Bilradar; Dubbelskiktslins; Gap-vågledarteknik; Waveguide-kortplats; Antennuppsättning; Lens-beamforming.;

   Sammanfattning : Automotive radars have gained considerable interest in recent years for applications of road safety for vulnerable road users. The use of multipleinput and multiple-output (MIMO) technology in automotive radar has helped in realising a virtual aperture greater than the physical aperture of the antenna which has reduced the size of the overall radar module. LÄS MER

3. 2. Initial access for 5G mmWave private networks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mei Li; [2023]
   Nyckelord :Private Network; Initial Access; Millimeter-Wave; Ray Tracing; Cell Search; Random Beamforming; Privat nätverk; Initial Access; Millimeter-Wave; Ray Tracing; Cell Search; Random Beamforming;

   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

4. 3. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuan Cheng; [2022]
   Nyckelord :Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

   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

5. 4. Initial access in 5G mmWave networks with different base station parameters

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xiao Yang; [2022]
   Nyckelord :Initial Access; Millimeter-Wave Network; Cell Search; Random Search; Genetic Algorithm; Machine Learning; Första åtkomst; Millimetervågsnätverk; Cell sökning; Slumpmässig sökning; Genetisk algoritm; Maskininlärning;

   Sammanfattning : Nowadays in the fifth generation (5G) communication systems, millimeter wave (mmWave) has aroused interest to not only industrial use but also network operators due to the massive amount of bandwidth available at mmWave frequencies. Initial access in cellular systems is an essential procedure in which new mobile user equipment (UE) establishes a connection with a base station (BS). LÄS MER

7. 5. Machine Learning Based Beam Tracking in mmWave Systems

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yizhan Yang; [2021]
   Nyckelord :Beam Tracking; Machine Learning; RNN; LSTM; Strålspårning; Maskininlärning; RNN; LSTM;

   Sammanfattning : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. LÄS MER