Sökning: "ericssons"

Visar resultat 1 - 5 av 131 uppsatser innehållade ordet ericssons.

  1. 1. State Machine Model-To-Code Transformation In C

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Jonathan Carlgren; Per William Oskarsson; [2023]
    Nyckelord :State Machine; Model To Code; C; UML; ElementTree; XMI; Programming; Python; Benchmark;

    Sammanfattning : A state machine model can turn a complex behavioural system into a more accessible graphical model, and can improve the way people work with system design by making it easier to communicate and understand the system. The clear structure of a state machine model enables automatic generation of well structured, and consequently readable, and maintainable code. LÄS MER

  3. 2. Design and Implementation of an Efficient Intrusion Response System for 5G RAN Baseband Units

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Mirna Ghazzawi; Adil Imran; [2023]
    Nyckelord :Intrusion Response System; Security; OSSEC; Radio Access Network; Baseband Units;

    Sammanfattning : The 5G Radio Access Network (RAN) is a critical system that must be secured against potential attacks, particularly its Base-Band Unit (BBU), which is a common target for intrusions. Ericsson, which is a big provider of such systems, has placed significant emphasis on implementing Intrusion Detection Systems (IDS) to detect threats. LÄS MER

  4. 3. 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

  5. 4. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Marcus Johnson; Herman Forslund; [2023]
    Nyckelord :Product-Quantization; MADDNESS; Radio Access Networks; Channel Estimation; MIMO; Approximate Matrix Multiplication; Pruduktkvantisering; MADDNESS; RAN; MIMO; Approximativa matrismultiplikation;

    Sammanfattning : The increasing demand for mobile data has placed significant strain on radio access networks (RANs), leading to a continuous need for increased network capacity. In keeping with that, a significant advancement in modern RANs is the ability to utilize several receivers and transmitters, to allow for beamforming. LÄS MER

  7. 5. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

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

    Författare :Suresh Rishi Nandan; [2023]
    Nyckelord :Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Sammanfattning : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. LÄS MER