Essays about: "mobilnätverk"
Showing result 1 - 5 of 13 essays containing the word mobilnätverk.
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1. Assessing the threat of Stingrays in 4G cellular networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Analysis of Performance Parameters for Service Assurance in Radio Access Networks
University essay from KTH/Hälsoinformatik och logistikAbstract : During the thesis project, an evaluation tool was developed for Telenor. This tool identifies the most reliable cell within a site based on its standard deviation and systematically ranks the performance of each cell using key performance indicators (KPIs). READ MORE
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3. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. READ MORE
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4. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. READ MORE
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5. Belief-aided Robust Control for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE