Essays about: "bandwidth prediction"

Showing result 6 - 10 of 21 essays containing the words bandwidth prediction.

  1. 6. Sequence Prediction for Identifying User Equipment Patterns in Mobile Networks

    University essay from KTH/Matematisk statistik

    Author : Theoharis Charitidis; [2020]
    Keywords : Markov chain; mobile networks; user equipment; machine learning; statistics; sequence prediction; stochastic process; Maskininlärning; mobila nätverk; statistik; markovkedjor; all k order markov; stokastisk process; sekvensprediktering;

    Abstract : With an increasing demand for bandwidth and lower latency in mobile communication networks it becomes gradually more important to improve current mobile network management solutions using available network data. To improve the network management it can for instance be of interest to infer future available bandwidth to the end user of the network. READ MORE

  3. 7. 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

  4. 8. Towards reducing bandwidth consumption in publish/subscribe systems

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

    Author : Yifan Ye; [2020]
    Keywords : pub sub; 5G; MEC; data reduction; IoT.; pub sub; 5G; MEC; datareduktion; IoT.;

    Abstract : Efficient data collection is one of the key research areas for 5G and beyond, since it can reduce the network burden of transferring massive data for various data analytics and machine learning applications. Specifically, 5G offers great support for massive deployment of IoT devices, and the number of IoT devices is exploding. READ MORE

  5. 9. Application of machine learning in 5G to extract prior knowledge of the underlying structure in the interference channel matrices

    University essay from KTH/Matematisk statistik

    Author : Danilo Peng; [2019]
    Keywords : Machine learning; 5G; interference channel; blind source estimation; MIMO; OFDM; bandwidth prediction; support vector machines; artificial neural network.; Maskininlärning; 5G; interferencekanal; stödvektormaskin; neurala nätverk; brandbedd estimering;

    Abstract : The data traffic has been growing drastic over the past few years due to digitization and new technologies that are introduced to the market, such as autonomous cars. In order to meet this demand, the MIMO-OFDM system is used in the fifth generation wireless network, 5G. READ MORE

  6. 10. Cross-Layer Congestion Control with Deep Neural Network in Cellular Network

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

    Author : Shimin Huang; [2019]
    Keywords : Congestion Control; Cellular Networks; Cross-Layer; Neural Networks; Trängselkontroll; Mobilnät; Tvärgående Lager; Neuronnät;

    Abstract : A significant fraction of data traffic is transmitted via cellular networks. When introducing fifth-generation (5G) radio access technology, the maximum bitrate of the radio link increases significantly, and the delay is lowered. READ MORE