Essays about: "channel estimation techniques"
Showing result 1 - 5 of 26 essays containing the words channel estimation techniques.
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1. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. READ MORE
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2. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks
University essay from KTH/Matematisk statistikAbstract : The increasing demand for mobile data has placed significant strain on radio access networks (RANs), leading to a continuous need for increased network capacity. In keeping with that, a significant advancement in modern RANs is the ability to utilize several receivers and transmitters, to allow for beamforming. READ MORE
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3. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods
University essay from Mälardalens universitet/Framtidens energiAbstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE
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4. Real-time remote processing enabled by high speed Ethernet
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : A growing trend within the technologies acting as enablers for 6g, such as Massive MIMO and Large Intelligence Surfaces, is benefiting from both the communication and the positioning aspects that they can provide. As these kinds of systems are employing a large number of arrays which provide high amounts of data, a distributed hardware approach having near-antenna processing is explored in this work. READ MORE
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5. Deep Learning based Approximate Message Passing for MIMO Detection in 5G : Low complexity deep learning algorithms for solving MIMO Detection in real world scenarios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Fifth Generation (5G) mobile communication system is the latest technology in wireless communications. This technique brings several advantages, in particular by using multiple receiver antennas that serve multiple transmitters. READ MORE