4 results match your criteria: "Moscow Technical University of Communications and Informatics (MTUCI)[Affiliation]"
Uplink NOMA-MIMO Systems with Rayleigh Power Distribution.
Sensors (Basel)
May 2022
Moscow Technical University of Communications and Informatics (MTUCI), Moscow 111024, Russia.
The article is devoted to multiple-input multiple-output antenna systems, also called MIMO systems, which are widely used in wireless communication systems. In this article we consider a case when the MIMO system works in overloaded mode. In this mode MIMO systems can be considered as a system with non-orthogonal multiple access NOMA.
View Article and Find Full Text PDFEquivalent MIMO Channel Matrix Sparsification for Enhancement of Sensor Capabilities.
Sensors (Basel)
March 2022
Department of Information Technology, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., 117198 Moscow, Russia.
One of the development directions of new-generation mobile communications is using multiple-input multiple-output (MIMO) channels with a large number of antennas. This requires the development and utilization of new approaches to signal detection in MIMO channels, since the difference in the energy efficiency and the complexity between the optimal maximum likelihood algorithm and simpler linear algorithms become very large. The goal of the presented study is the development of a method for transforming a MIMO channel into a model based on a sparse matrix with a limited number of non-zero elements in a row.
View Article and Find Full Text PDFUnipolar magnetic field pulses as an advantageous tool for ultrafast operations in superconducting Josephson "atoms".
Beilstein J Nanotechnol
July 2019
Lomonosov Moscow State University Physics Department, Moscow, 119991, Russia.
Article Synopsis
- A theoretical framework is proposed to understand how ultrafast population transfer and magnetization reversal in superconducting meta-atoms occur when exposed to short magnetic field pulses.
- A method using stimulated Raman Λ-type transitions is suggested to enable rapid quantum operations on the picosecond timeframe.
- An experimental setup for implementing this ultrafast control within a circuit-on-chip is also introduced.
Adiabatic superconducting cells for ultra-low-power artificial neural networks.
Beilstein J Nanotechnol
October 2016
Moscow Technical University of Communications and Informatics (MTUCI), Moscow, 111024, Russia.
Article Synopsis
- The paper suggests using superconducting quantum interferometers to create neural networks that consume very little power.
- These networks utilize special components called Josephson cells, which have activation functions shaped like sigmoid and Gaussian curves.
- The authors focus on optimizing these components for popular types of neural networks, specifically three-layer perceptrons and radial basis function networks.