RUDN mathematicians tell Europeans about 5G wireless technologies
RUDN delegation is headed by professor K.Samuilov, Director of the Institute of Applied Mathematics and Telecommunications. Lectures will be delivered by professors from RUDN University, Tampere Technological University (Finland), University Meditarranea of Reggio Calabria (Italy), Cagliary University (Italy) an representatives of Ericsson and Intel.
RUDN delegation is due to meet representatives of Reggio Calabria University and conclude a number of agreements on joint educational Master and postdoc programs in English. Professor Samuilov will meet the Rector to discuss firther cooperation.
5G networks are a 5th generation mobile connection that will allow integration of all the achievements in the field, and become the basis for digital economy.
In June, RUDN hosted the 5G Summit R&D Russia, which became a platform for joint work and exchange of ideas for industry leaders, researchers and academics.
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RUDN mathematicians investigated the possibility of combining 5 GNR technology and WiGig — a high-frequency range that allows you to transfer data at speeds up to 10 Gbps. This will smooth traffic fluctuations in 5Gnetworks and cope with user requests.
Scientists from the Winogradsky Institute of Microbiology RAS, RUDN University, St. Petersburg State University and the Tyumen Scientific Centre SB RAS studied the microbial communities from several lakes of the Yamal Peninsula. It turned out that methanotrophs (bacteria that use methane as a source of energy) consume methane more actively in the deep mature lakes of the peninsula than in small thermokarst lakes. In this regard, methane emissions into the atmosphere from the surface of deep lakes are low, and only small (relatively younger thermokarst lakes with constitutional ground ice) can make a significant contribution to methane emissions in the north of Western Siberia. Thus, bacteria perform an important function for the climate balance — they reduce the emission of methane into the atmosphere.
RUDN University physicists have described the conditions for the most efficient operation of long mirror-based variant of cyclotron in the autoresonance mode. These data will bring better understanding of plasma processes in magnetic traps.