Sökning: "5G in"

Visar resultat 16 - 20 av 455 uppsatser innehållade orden 5G in.

  1. 16. 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

  3. 17. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Chayan Shrang Raj; [2023]
    Nyckelord :Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

    Sammanfattning : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. LÄS MER

  4. 18. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :David Adolfsson; [2023]
    Nyckelord :Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

    Sammanfattning : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. LÄS MER

  5. 19. 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

  7. 20. Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning

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

    Författare :Daniel Ringwald; Daniel Larsson; [2023]
    Nyckelord :Machine learning; energy modelling; radio base station; 5G; neural network; gradient boosted trees; Technology and Engineering;

    Sammanfattning : With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. LÄS MER