Essays about: "indoor wireless"
Showing result 1 - 5 of 103 essays containing the words indoor wireless.
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1. Wi-Fi fingerprinting as a mean to measure building occupancy : A case study in an office environment
University essay from KTH/TransportplaneringAbstract : 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. READ MORE
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2. LoRa Radio Performance Analysis Based on AVR-RSS2 and RIOT-OS for Indoor IoT Applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : 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
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4. Ray-tracing Based Investigations on the Deployment of RISs in Indoor Scenarios
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE
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5. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE