Essays about: "LTE in mobile network"
Showing result 1 - 5 of 84 essays containing the words LTE in mobile network.
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1. How to measure the true end-user impact of Energy Performance features in a mobile network
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The Information and Communication Technology (ICT) industry is one of the most energy consuming industries in the world. With the increase of the number of global mobile traffic users which is growing rapidly for each year, it is more important than ever for all industries to implement energy efficient methods to decrease the greenhouse gas emissions. READ MORE
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2. Cell Tower Localization using crowdsourced measurments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Investigating power amplifier behavior in User Equipment terminals
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this thesis work, experiments have been carried out to study the behavior of radio frequency power amplifier which is the one of the largest power consumers in a user equipment which is a mobile phone in this case. A CMW-500 which is a Rohde and Schwarz equipment has been used to emulate the base station. READ MORE
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4. An Energy Efficient Narrowband Internet of Things Radio Base Station
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : NB-IoT was designed as an add-on to the LTE standard to enable wide area cellular connectivity to low-cost devices to facilitate the rapid growth of the Internet of Things. NB-IoT was found to increase the idle power consumption of the radio unit in an example LTE radio base station by almost 17%, costing the mobile network operator not only money, but also harming the environment through increased CO2 emissions. READ MORE
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5. Identification of Flying Drones in Mobile Networks using Machine Learning
University essay from Linköpings universitet/KommunikationssystemAbstract : Drone usage is increasing, both in recreational use and in the industry. With it comes a number of problems to tackle. Primarily, there are certain areas in which flying drones pose a security threat, e.g. READ MORE