Essays about: "nätverksprestanda"
Showing result 1 - 5 of 18 essays containing the word nätverksprestanda.
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1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Improving network performance with a polarization-aware routing approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traffic polarization in networks refers to the phenomenon where traffic tends to concentrate along specific routes or edges when doing multipath routing, leading to imbalanced flow patterns. This spatial distribution of traffic can result in congested and overburdened links, while other routes remain underutilized. READ MORE
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3. Explainable Reinforcement Learning for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Controlling antennas’ vertical tilt through Remote Electrical Tilt (RET) is an effective method to optimize network performance. Reinforcement Learning (RL) algorithms such as Deep Reinforcement Learning (DRL) have been shown to be successful for RET optimization. READ MORE
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4. Predicting Quality of Experience from Performance Indicators : Modelling aggregated user survey responses based on telecommunications networks performance indicators
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As user experience can be a competitive edge, it lies in the interest of businesses to be aware of how users perceive the services they provide. For telecommunications operators, how network performance influences user experience is critical. To attain this knowledge, one can survey users. READ MORE
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5. Network Slicing to Enhance Edge Computing for Automated Warehouse
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In a previous work, a distributed safety framework supported by edge computing was developed to enable real-time response of robots that collaborate with humans in the Human-Robot Collaboration (HRC) scenario. However, as the number of robots in the automated warehouse increases, the network is easier to induce the congestion. READ MORE