The main challenge in the evolution of cellular networks is providing increased channel capacity and data rates. Mobile operators are obligatory to boost the researching of methods for enhancing the spectral efficiency in response to the growing needs for better connectivity and signal coverage. The engineering of transmitters and receivers should be processed in a very precise manner as a matter of frequency effectiveness. An essential competitiveness is achieved having the combination of carrier frequencies as elements of one whole traffic trunk. Multicarrier techniques provide fulfilment of user requirements in the face of continuous on-line actions, fast file sharing and permanent Internet connectivity. Carrier aggregation in radio channels is seen as sophisticated technique for improving frequency usage assuring higher throughput and capacity.
Author: Nikolov L.
DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”
This article offers a neural network architecture for automatic classification of Inverse Synthetic Aperture Radar objects represented in images with high level of optimization. A full explanation of the procedures of two-layer neural network architecture creating and training is described. The neural network is experimentally simulated in MATLAB environment.