Sökning: "indoor deployment"
Visar resultat 1 - 5 av 40 uppsatser innehållade orden indoor deployment.
1. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. LÄS MER
2. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : 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. Ray-tracing Based Investigations on the Deployment of RISs in Indoor Scenarios
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Reconfigurable intelligence surface (RIS) is a promising candidate technology for future 6G wireless communication systems. In existing communication systems, the network operators are unable to control the propagation environment, which causes significant limitations on communication performance. LÄS MER
4. Analysis of The Co-existence of Local and Macro Mobile Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The transition to 5G technology holds the promise of significant enhancements to existing wireless connectivity. Industries are increasingly inclined to exploit 5G capabilities, utilizing the technology to bolster mobile broadband and ensure ultra-reliable, low-latency communication services within localized 5G networks. LÄS MER
5. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. LÄS MER