Sökning: "indoor wireless"
Visar resultat 1 - 5 av 108 uppsatser innehållade orden indoor wireless.
1. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment
Master-uppsats, KTH/TransportplaneringSammanfattning : The task of collecting visitor data in an indoor environment and therein determining the occupancy of a building is an extensive task. Conventional methods are expensive, time-consuming, and often lack the ability to produce data in longer time series. Further, they often require disruption of the studied area as equipment must be deployed. LÄS MER
2. LoRa Radio Performance Analysis Based on AVR-RSS2 and RIOT-OS for Indoor IoT Applications
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis is dedicated to measuring the communication performance of LoRa technology in an indoor environment and providing insight into its potential application as an effective Internet of Things (IoT) communication solution in Low Power Wide Area Networks (LPWAN). Through careful experimentation and analysis, we assessed various transmission parameters such as spreading factor (SF), bandwidth (BW), Payload Length (PL), and LoRaWAN classes. LÄS MER
3. 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
4. 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
5. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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