Sökning: "5G-network"

Visar resultat 1 - 5 av 38 uppsatser innehållade ordet 5G-network.

1. 1. 3D Modeling of Factory Scenarios for 5G Evaluations

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Haodong Zhao; [2023]
   Nyckelord :;

   Sammanfattning : 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

3. 2. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Mirjalol Aminov; [2023]
   Nyckelord :5G; Network Slicing; Adversarial Machine Learning; Machine Learning; Deep Learning;

   Sammanfattning :  A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. LÄS MER

4. 3. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Ahmed Sikh; Joel Axén; [2023]
   Nyckelord :cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

   Sammanfattning : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. LÄS MER

5. 4. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

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

   Författare :Cai Tianzhang; [2023]
   Nyckelord :;

   Sammanfattning : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. LÄS MER

7. 5. Latency Prediction in 5G Networks by using Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Erica Elgcrona; Evrim Mete; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. LÄS MER