Sökning: "Wireless open networks"

Visar resultat 1 - 5 av 48 uppsatser innehållade orden Wireless open networks.

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

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

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

   Sammanfattning : 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. LÄS MER

3. 2. Assessing the threat of Stingrays in 4G cellular networks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Emil Karim; Sina Khoraman; [2023]
   Nyckelord :Cellular network; Wireless communication; Stingray; Privacy; Surveillance; Tracking; 4G; Software-defined radio; Cellulärt nätverk; Trådlös kommunikation; Stingray; Integritet; Övervakning; Spårning; 4G; Mjukvarudefinierad radio;

   Sammanfattning : This bachelor thesis explores the threat of Stingrays, fake cell towers, to the mobile network. The increasing availability of open-source technology and hardware has made it easier to build Stingrays. LÄS MER

4. 3. Cell Tower Localization using crowdsourced measurments

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Carlos Escandón Álvarez; [2023]
   Nyckelord :Cell Tower Geolocation; Crowdsourced Measurements; Positioning; Machine Learning; Neural Networks;

   Sammanfattning : This thesis explores the application of a neural network approach to cell tower localization using crowdsourced measurements. The deployment of cell tower infrastructure has been increasing exponentially in recent times as it is a crucial element of mobile communications. LÄS MER

5. 4. Machine Learning-based MIMO Indoor Positioning

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Qiyi Chen; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER

7. 5. Energy Sustainable Reinforcement Learning-based Adaptive Duty-Cycling in Wireless Sensor Networks-based Internet of Things Networks

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Nadia Charef; [2023]
   Nyckelord :Reinforcement Learning; Q-learning; Dynamic Energy Management; Energy Sustainabiltiy; IEEE802.15.4 MAC Protocol; Adaptive Duty Cycling; Wireless Sensors Networks; Internet of Things;

   Sammanfattning : The Internet of Things (IoT) is widely adopted across various fields due to its flexibility and low cost. Energy-harvesting Wireless Sensor Networks (WSNs) are becoming a building block of many IoT applications and provide a perpetual source of energy to power energy-constrained IoT devices. LÄS MER