Essays about: "Channel prediction"

Showing result 1 - 5 of 41 essays containing the words Channel prediction.

1. 1. Experimental Investigation of High Prandtl Number Flow in Additive Manufactured Channels

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : LINDA YANG; [2023]
   Keywords : Additive manufacturing; Heat transfer; Darcy friction factor; Nusselt number; Minichannel.; Friformsframställning; Värmeöverföring; Darcy friction factor; Nusselt number; Minikanal.;

   Abstract : Additive manufacturing (AM) rapidly evolves and expands into new industries dueto its great design freedom and time savings. Injection molding is an excellentindustry where AM can help reduce cooling time by printing complex coolingchannels for more effective and uniform cooling. READ MORE

3. 2. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

   University essay from Mälardalens universitet/Framtidens energi

   Author : Josefin Rojas Vazquez; [2023]
   Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

   Abstract : 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

4. 3. Convolution- compacted vision transformers for prediction of local wall heat flux at multiple Prandtl numbers in turbulent channel flow

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Yuning Wang; [2023]
   Keywords : Turbulent flow; Heat transfer; Vision transformer; Convolutional neural network; Machine learning;

   Abstract : Predicting wall heat flux accurately in wall-bounded turbulent flows is critical fora variety of engineering applications, including thermal management systems andenergy-efficient designs. Traditional methods, which rely on expensive numericalsimulations, are hampered by increasing complexity and extremly high computationcost. READ MORE

5. 4. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuan Cheng; [2022]
   Keywords : Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

   Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE

6. 5. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Nic Ekman; Ilias Theodoros Skordas; [2022]
   Keywords : 5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

   Abstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE