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

Showing result 6 - 10 of 98 essays containing the words “MIMO” “Multiple Input Multiple Output”.

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

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

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

   Abstract : 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. READ MORE

3. 7. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

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

   Author : Cai Tianzhang; [2023]
   Keywords : ;

   Abstract : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. READ MORE

4. 8. Real-time uncertainty estimation for deep learning

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

   Author : Árni Dagur Guðmundsson; [2023]
   Keywords : Machine Learning; Deep Learning; Uncertainty Estimation; Evidential Deep Learning; Computer Vision; Maskininlärning; Djupinlärning; Osäkerhetsuppskattning; Evidential Deep Learning; Datorseende; Vélnám; Djúptauganet; Óvissumat; Evidential Deep Learning; Tölvusjón;

   Abstract : Modern deep neural networks do not produce well calibrated estimates of their own uncertainty, unless specific uncertainty estimation techniques are applied. Common uncertainty estimation techniques such as Deep Ensembles and Monte Carlo Dropout necessitate multiple forward pass evaluations for each input sample, making them too slow for real-time use. READ MORE

5. 9. A Travelling Wave Slot Array based on a Double-Layer Lens for 77 GHz Automotive Radar

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

   Author : Ashray Ugle; [2023]
   Keywords : Automotive radar; Double-layer lens; Gap waveguide technology; Waveguide slot; Antenna array; Lens-beamforming.; Bilradar; Dubbelskiktslins; Gap-vågledarteknik; Waveguide-kortplats; Antennuppsättning; Lens-beamforming.;

   Abstract : Automotive radars have gained considerable interest in recent years for applications of road safety for vulnerable road users. The use of multipleinput and multiple-output (MIMO) technology in automotive radar has helped in realising a virtual aperture greater than the physical aperture of the antenna which has reduced the size of the overall radar module. READ MORE

6. 10. Surface Reconstruction using Multipath Propagation in Indoor MIMO Radar

   University essay from Lunds universitet/Matematisk statistik

   Author : Elias Olson; Jakob Henningsson; [2023]
   Keywords : Multiple-input multiple-output MIMO radar; multipath recognition; geometry reconstruction; Mathematics and Statistics;

   Abstract : Using active radar for localization in indoor environments is challenging. By signal reflection off walls and other static objects, false targets occur, referred to as multipath "ghosts". These are a significant hinder in interpreting the data. READ MORE