Advanced search

Showing result 1 - 5 of 14 essays matching the above criteria.

  1. 1. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Hairuo Gao; [2022]
    Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE

  3. 2. ML-Aided Cross-Band Channel Prediction in MIMO Systems

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Alejo Pérez Gómez; [2022]
    Keywords : MIMO; Deep Learning; Machine Learning; Probabilistic Principal Component Analysis; Variational Autoencoder;

    Abstract : Wireless communications technologies have experienced an exponential development during the last decades. 5G is a prominent exponent whose one of its crucial component is the Massive MIMO technology. READ MORE

  4. 3. Transformer learning for traffic prediction in mobile networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Wass; [2021]
    Keywords : Transformer; Attention; LSTM; Mobile traffic prediction.; Transformer; Attention; LSTM; Prediktering av mobil nätverkstrafik.;

    Abstract : The resources of mobile networks are expensive and limited, and as demand for mobile data continues to grow, improved resource utilisation is a prioritised issue. Traffic demand at base stations (BSs) vary throughout the day and week, but the capacity remains constant and utilisation could be significantly improved based on precise, robust, and efficient forecasting. READ MORE

  5. 4. A Deep Learning Approach to Downlink User Throughput Prediction in Cellular Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xuechen Zuo; [2020]
    Keywords : ;

    Abstract : A majority of the global population subscribe to mobile networks, also knownas cellular networks. Thus, optimizing mobile traffic would bring benefits tomany people. The available downlink user throughput in cellular networks issubject to heavy fluctuations, which leads to inefficient use of network capacity. READ MORE

  6. 5. Multiple Time Series Forecasting of Cellular Network Traffic

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Emma Wallentinsson Wallentinsson; [2019]
    Keywords : time series analysis; cellular networks; traffic load; arima; sarima; forecasting; machine learning; statistics; load prediction;

    Abstract : The mobile traffic in cellular networks is increasing in a steady rate as we go intoa future where we are connected to the internet practically all the time in one wayor another. To map the mobile traffic and the volume pressure on the base stationduring different time periods, it is useful to have the ability to predict the trafficvolumes within cellular networks. READ MORE