Essays about: "wireless channel estimation"

Showing result 1 - 5 of 44 essays containing the words wireless channel estimation.

1. 1. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : David Adolfsson; [2023]
   Keywords : Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

   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

3. 2. Real-time remote processing enabled by high speed Ethernet

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

   Author : Dumitra Iancu; Lina Tinnerberg; [2023]
   Keywords : Large Intelligent Surfaces; Deep Neural Networks; FPGA; VHDL; Ethernet; Technology and Engineering;

   Abstract : 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

4. 3. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

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

   Author : Matteo Ferrini; [2022]
   Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

   Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE

5. 4. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

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

   Author : Andre Ráth; [2022]
   Keywords : 5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

   Abstract : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. READ MORE

6. 5. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

   Author : Siva Satya Sri Ganesh Seeram; [2022]
   Keywords : Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

   Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE