Abstract: Digital traffic volumes grow rapidly and increasingly complex telecommunication architectures demand a new approach to network efficiency improvements. The infrastructure system should contain satellite, cellular, optical, and cognitive technologies as an integrated infrastructure system with high throughput in energy-efficient and interference-resistant modes; hence this paper addresses a relevant study. The aim of the work was to identify the main patterns of growth in the productivity of telecommunications systems through a systematic analysis of current approaches to the optimization of signals, radio resources, and network structures. The object of the study was modern telecommunications systems of various types and their integrated components. The methodology was based on theoretical and analytical modeling using the provisions of channel capacity theory, concepts of multidimensional signal processing, parametric optimization, and correlation-regression analysis of official technical and statistical sources. The results showed that the level of correlation between antennas significantly affects the throughput of MIMO systems: reducing the correlation from 0.7 to 0.0 increases the channel throughput by more than 100% at high SNR levels. Simulation of satellite channels confirmed that optimization of the bandwidth and target coverage parameters ensures stable communication over long distances even with minimal energy resources. Fiber optic lines showed significant potential for reducing transmission dispersion through improved fiber profiles, which improves data transport quality in backbone segments. Throughput is a function of bandwidth and those subtle key interference parameters which can further be optimized, clearly borne out in channel analysis of LTE per the definition in 3GPP standards. Cognitive dynamic spectrum access allows an overlay wireless network extension even within frequency resource-limited environments so the results are indeed practically significant since spectral efficiency was found to be very high owing additional study conducted on ensembles of complex signaling cognitive systems. The main practical result is evolution toward one single telecommunications performance assessment model used both at the design stage of promising satellite/cellular/optical/cognitive networks and as a parameter for optimizing cooperation during growing demands of the digital economy.
Keywords: Telecommunications systems, Signal processing, Satellite networks, Optical fibers, MIMO technologies, Cognitive networks, Bandwidth, Spectral efficiency, Radio resources, Digital infrastructure
DOI: 10.24874/PES08.02B.007
Recieved: Revised: Accepted:
UDC:
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