Sökning: "Radio Online"

Visar resultat 1 - 5 av 59 uppsatser innehållade orden Radio Online.

1. 1. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

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

   Författare :Alexander Mo; [2023]
   Nyckelord :Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

   Sammanfattning : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). LÄS MER

3. 2. Digital Front End Algorithms for Sub-Band Full Duplex

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

   Författare :Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Nyckelord :Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Sammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER

4. 3. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning

   Master-uppsats, Linköpings universitet/Databas och informationsteknik

   Författare :Fredrik Olsson; Erik Sköld; [2023]
   Nyckelord :;

   Sammanfattning : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. LÄS MER

5. 4. Drone Detection using Deep Learning

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

   Författare :Yating Liu; [2023]
   Nyckelord :Drone Detection; Real-time Tracking; Deep Learning; Computer Vision; Small Object Detection; YOLO; Drönardetektering; Realtidsspårning; Deep Learning; Computer Vision; Small Object Detection; YOLO;

   Sammanfattning : Drone intrusions have been reported more frequently these years as drones become more accessible in the market. The abuse of drones puts threats to public and individual safety and privacy. Traditional anti-drone systems use radio-frequency sensors widely to get the position of drones. LÄS MER

7. 5. Public Service Broadcasting in the digital media age : How streaming services reshape the role of Greek public network ERT from state to public service broadcaster?

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

   Författare :Emmanouil Evangelos Katsoulakis; [2022]
   Nyckelord :Public Service Broadcasting; television; streaming services; ERT; Public Service Media; State Broadcasting; Public Service Broadcasting; TV; streamingtjänster; ERT; Public Service Media; statliga sändningar.;

   Sammanfattning : Media are created to disseminate information and foster dialogue to support democratic societies. As society evolved and liberalism and marketization gained ground, Public Service Broadcasting was established to produce and distribute content that benefits society without aiming for profit. LÄS MER