Essays about: "“MIMO” “Multiple Input Multiple Output”"

Showing result 11 - 15 of 98 essays containing the words “MIMO” “Multiple Input Multiple Output”.

1. 11. Beam-steered Modulation in Advanced Antenna System

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

   Author : Smitha Jinnahalli Venugopal; [2023]
   Keywords : 5G-MIMO; Beam-forming; Beam-steering; Advanced antenna systems; Technology and Engineering;

   Abstract : The newer spectral bands in millimeter-wave (mm-Wave) spectrum over the last few years have made higher data rates possible and improved quality of service for the users, but it possesses new challenges to design spectral agile radios. Power Amplifiers (PA) are a crucial analog component connected to Multiple input multiple output (MIMO) antennas which inherits non-linear effects. READ MORE

3. 12. Performance Analysis of STTC-Based MIMO Under Cognitive RadioScenarios

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Sanjana Kankantee; Sai Praneeth Reddy Ganta; [2023]
   Keywords : Space-time trellis coding; MIMO; Cognitive radio; Performance; Bit error rate; Diversity; AWGN; Rayleigh fading; Detection; Spectrum.;

   Abstract : This thesis presents a comprehensive investigation into improving wireless transmission rates and reliability through the implementation of Space Time Trellis Codes(STTC). The study focuses on enhancing the coding gain, diversity gain, and flexible transmission capabilities, which are crucial for Error-Correcting Codes (ECC)in wireless communications. READ MORE

4. 13. 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. 14. 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. 15. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks

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

   Author : Qinglong He; [2022]
   Keywords : Cell-free massive MIMO; multi-objective optimization; deep reinforcement learning; AP switch ON OFF; energy efficiency; Cellfri massiv MIMO; multiobjektiv optimering; djup förstärkningsinlärning; AP switch ON OFF; energieffektivitet;

   Abstract : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. READ MORE