Essays about: "master thesis lte"

Showing result 1 - 5 of 36 essays containing the words master thesis lte.

1. 1. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Chayan Shrang Raj; [2023]
   Keywords : Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

   Abstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE

3. 2. Industrial Scenario using LTE Cellular Network

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Anthony Owondo; Javad Blouchi; [2019]
   Keywords : Technology and Engineering;

   Abstract : This Thesis project used an event-based simulation tool written in MATLAB that modelled a factory scenario. Multiple base stations and a varying number of nodes were modelled. The nodes send data to the base stations and the simulation tool calculates the SINR of the received data and uses this SINR to model a probability of error. READ MORE

4. 3. Localization of eNodeBs with a Large Set of Measurements from Train Routers

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

   Author : Simon Sundberg; [2019]
   Keywords : Localization; Positioning; LTE; eNodeB; base stations; Received Signal Strength; RSS;

   Abstract : This master thesis investigates the possibility of locating LTE base stations, known as eNodeBs, using signal measurements collected by routers on trains. Four existing algorithms for transmitter localization are adopted: the centroid, strongest signal, Monte Carlo path loss simulation and power difference of arrival (PDoA) methods. READ MORE

5. 4. 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

6. 5. Machine Learning Based Modulation and Coding Scheme Selection

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Michel Chamat; Bersi Dimitrios Kodra; [2019]
   Keywords : Machine Learning; ML; Modulation and Coding Scheme; MCS; Scheduler; Scheduling; Technology and Engineering;

   Abstract : In wireless communication, resources like bandwidth and energy are scarce and extremely valuable, any system should serve as many users as possible while preserving high Quality of Service (QoS) for the best user experience. Accordingly, the Base Station (BS) has the responsibility to optimally schedule its resources to the users based on the available information. READ MORE