Sökning: "Channel Matrix"

Visar resultat 1 - 5 av 42 uppsatser innehållade orden Channel Matrix.

  1. 1. Simulation and Testing of a MU-MIMO Beamforming System

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Nazyar Mehdishishavan; Zonghan Wang; [2023]
    Nyckelord :Multi-User Multiple-Input Multiple-Output MU-MIMO ; Beamforming; Sounding Reference Signal SRS ; Reciprocity-based; Butler matrix; Advanced Antenna System AAS ; Technology and Engineering;

    Sammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER

  2. 2. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Marcus Johnson; Herman Forslund; [2023]
    Nyckelord :Product-Quantization; MADDNESS; Radio Access Networks; Channel Estimation; MIMO; Approximate Matrix Multiplication; Pruduktkvantisering; MADDNESS; RAN; MIMO; Approximativa matrismultiplikation;

    Sammanfattning : 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. LÄS MER

  3. 3. Acoustic Characterization of Catalyst

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Surachit Dokson; [2023]
    Nyckelord :;

    Sammanfattning : The WHO has set a sound level threshold of 55 dB, beyond which noise is considered harmful to humans when exposed for an extended period of time. It is, however, estimated by the European Environmental Agency that over 110 million people in the EU are regularly exposed to levels of traffic noise above 55 dB. LÄS MER

  4. 4. Automatic overcurrent and leakage current sensing in multiple channel NMES systems

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Malin Otter; Bashar Jamal Pati; [2023]
    Nyckelord :Neuromuscular Electrical Stimulation; Current monitoring; Overcurrent sensing; Leakage current sensing; Embedded systems; Instrumentation amplifier; Neuromuskulär elektrisk stimulering; Strömmätning; Överström detektering; Läckström detektering; Inbyggda system; Instrumentförstärkare;

    Sammanfattning : This report presents the development, implementation, and testing of a current monitor system that is specifically developed for testing a neuromuscular electrical stimulation system (NMES). The NMES system, developed by KTH and its academic and industrial partners Karolinska institute and Matrix Muscle Support, incorporates advanced features aimed at preventing cardiovascular diseases. LÄS MER

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

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Andre Ráth; [2022]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER