Sökning: "Basstation"

Visar resultat 1 - 5 av 48 uppsatser innehållade ordet Basstation.

  1. 1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Författare :Yuxin Sun; [2023]
    Nyckelord :LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Sammanfattning : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. LÄS MER

  3. 2. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

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

    Författare :Jiaming Huang; [2023]
    Nyckelord :;

    Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER

  4. 3. Parallellisering i CUDA av LDPC-avkodningsalgoritmen MSA, för NVIDIA:s GPU:er

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :David Lindbom; Jonathan Pettersson; [2023]
    Nyckelord :LDPC; CUDA; MSA;

    Sammanfattning : Inom dagens samhälle är de flesta mobilenheter uppkopplade till en basstation. Mycket information förväntas kunna överföras från telefonen till basstationen utan några störningar för användaren. 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. Analysis of Performance Parameters for Service Assurance in Radio Access Networks

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Daryell Raymat; Mohammed Chaker; [2023]
    Nyckelord :Key performance indicator in networks; python; data visualisation; cellular network; self-health care; machine learning; Telenor; parameter analysis.; Nyckelprestandaindikator i nätverk; python; datavisualisering; mobilnätverk; själv-hälsovård; maskininlärning; Telenor; parameteranalys.;

    Sammanfattning : During the thesis project, an evaluation tool was developed for Telenor. This tool identifies the most reliable cell within a site based on its standard deviation and systematically ranks the performance of each cell using key performance indicators (KPIs). LÄS MER