Sökning: "Downlink"

Visar resultat 16 - 20 av 124 uppsatser innehållade ordet Downlink.

1. 16. Predicting Buffer Status Report (BSR) for 6G Scheduling using Machine Learning Models

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

   Författare :Qi Zhang; [2021]
   Nyckelord :Buffer Status Report; 6G scheduling; Machine Learning; Uplink Traffic Prediction; Wireless Communication; Buffert status rapport; 6G-schemaläggning; Machine Learning; Uplink Traffic Prediction; Wireless Communication;

   Sammanfattning : In 6G communication, many state-of-the-art machine learning algorithms are going to be implemented to enhance the performances, including the latency property. In this thesis, we apply Buffer Status Report(BSR) prediction to the uplink scheduling process. The BSR does not include information for data arriving after the transmission of this BSR. LÄS MER

3. 17. Positioning in Non-Terrestrial Networks

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Soha Emara; [2021]
   Nyckelord :positioning; 5G; satellite; NTN; Technology and Engineering;

   Sammanfattning : In 5G communications, Non-terrestrial Network (NTN) is envisioned to complement Terrestrial Network (TN) to increase network availability, scalability and continuity. Positioning of User Equipment (UE) is critical for the operation of NTN. Currently, NTN uses Global Navigation Satellite System (GNSS) for positioning. LÄS MER

4. 18. Extreme Quantile Estimation of Downlink Radio Channel Quality

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Philip Palapelas Kantola; [2021]
   Nyckelord :quantile regression; telecommunications; machine learning; quantile regression neural network; link adaptation; sinr;

   Sammanfattning : The application area of Fifth Generation New Radio (5G-NR) called Ultra-Reliable and Low-Latency Communication (URLLC) requires a reliability, the probability of receiving and decoding a data packet correctly, of 1 - 10^5. For this requirement to be fulfilled in a resource-efficient manner, it is necessary to have a good estimation of extremely low quan- tiles of the channel quality distribution, so that appropriate resources can be distributed to users of the network system. LÄS MER

5. 19. Machine Learning Technique for Beam Management in 5G NR RAN at mmWave Frequencies

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Joel Bill; Gustav Fahlén; [2020]
   Nyckelord :Machine Learning; Reinforcement Learning; Beam Management; Beam Tracking; mmWaves; Technology and Engineering;

   Sammanfattning : Ericsson has an interest in investigating if the fast-growing concept known as machine learning can be applied to beam management, in a 5G NR environment using mmWave frequencies. Because of the high path-loss at mmWave frequencies and high throughput demands of 5G NR systems it is crucial to the UE to always stay connected to the most suitable beam, to provide highest possible throughput. LÄS MER

7. 20. Lean Beam Management for New Radio

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Nawanit Kumar; [2020]
   Nyckelord :5G; NR; MIMO; Beam management; CSI-RS; Technology and Engineering;

   Sammanfattning : The use of millimetre-wave frequencies in Fifth generation New Radio has lead to high path loss due to radio propagation environment. Simultaneously, high data rates is a must for current products due to high market demand. This requirement accounts for efficient tracking of the best beam for the user equipment to stay connected to it. LÄS MER