Titlebook: Distributed Computer and Communication Networks; 23rd International C Vladimir M. Vishnevskiy,Konstantin E. Samouylov,Dm Conference proceed

昆蟲

violate

Kijua Sanders-McMurtry,Nia Woods Haydeld multicast traffic. MC techniques is proposed to be used for cell-edge users. The proposed model is validated against computer simulations in terms of session drop probabilities and system resource utilization metrics. Our findings are illustrated with a numerical example.

Asperity

“Politics Are Quite Perplexing”ices of Internet of Things. Recently, there are Machine Learning and Big Data algorithms are took this place of new algorithms for efficient and complex algorithms. In this paper, we implement IoT traffic prediction approaches using single step ahead and multi-step ahead prediction with NARX neural

miracle

死貓他燒焦

Simulation-Based Analysis of Mobility Models for Wireless UAV-to-X Networkse and more often the question arises about the mobile communications availability in a remote area, for example, during public events or search operations. The lack of on-demand connectivity with sufficient quality in such areas is unacceptable in modern conditions. Therefore, the study of the behav

低三下四之人

Multipath Redundant Network Protocol Without Delivery Guaranteef developed protocol are described in the paper. Developed protocol provides faultless and timely delivery packets improvements for different type of systems (real-time and time insensitive). The efficiency of redundant multipath transmissions is analyzed and researched using obtained results from e

giggle

Modelling Multi-connectivity in 5G NR Systems with Mixed Unicast and Multicast Trafficd multicast traffic. MC techniques is proposed to be used for cell-edge users. The proposed model is validated against computer simulations in terms of session drop probabilities and system resource utilization metrics. Our findings are illustrated with a numerical example.

insurgent

IoT Traffic Prediction with Neural Networks Learning Based on SDN Infrastructureices of Internet of Things. Recently, there are Machine Learning and Big Data algorithms are took this place of new algorithms for efficient and complex algorithms. In this paper, we implement IoT traffic prediction approaches using single step ahead and multi-step ahead prediction with NARX neural

fabricate

Resource Queuing System with Preemptive Priority for Performance Analysis of 5G NR Systemserformance evaluation of 5G NR systems with priority-based service discipline at the air interface, e.g., in context of network slicing. Among other conclusions we explicitly show that both session drop and interruption probabilities of low priority traffic heavily depend not only on the intensity o

冒失

Redundant Servicing of a Flow of Heterogeneous Requests Critical to the Total Waiting Time During th