Essays about: "Cellular networks"

Showing result 16 - 20 of 228 essays containing the words Cellular networks.

  1. 16. Prediction and Analysis of 5G beyond Radio Access Network

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gaurav Singh; Shreyansh Singh; [2023]
    Keywords : - LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

    Abstract : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. READ MORE

  3. 17. Design and implementation of GUI for re-testing

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Mahdi Mohammadi; Yazan Ibrahim; [2023]
    Keywords : GUI; gui; re-testing; design; implementation; python; regression testing; cellular network; tietoevry;

    Abstract : The company Tietoevry in Karlstad uses regression testing when working with networks. When a test fails, manual modifications to a command in a text file must be done and a re-test must be performed by executing the command. The process of retesting is both time consuming and error prone. READ MORE

  4. 18. Energy Neutral User Equipment : powering cellular IoT applications using energy harvesting

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

    Author : Tomas Lorenzo Henriques Vazquez; [2022]
    Keywords : Energy harvesting; Vibration energy harvesting; Energy neutral; Internet of Things; Autonomous systems; Power management; Low Power Wide Area Networks; LTE-M; NB-IoT; Energiskördning; Vibrationsenergiskörd; Energineutral; Sakernas internet; Autonoma system; Energihantering; Lågenerginätverk med lång räckvidd; LTE-M; NB-IoT;

    Abstract : With the rise in the number of Internet of Things (IoT) applications, there is also an increase in the number of batteries being used to power these connected devices. The lifespan of IoT devices is usually limited by how long their batteries last. READ MORE

  5. 19. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

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

    Author : Matteo Ferrini; [2022]
    Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE

  6. 20. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

    Author : Siva Satya Sri Ganesh Seeram; [2022]
    Keywords : Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

    Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE