A Special Issue on Modeling, Dimensioning, and Optimization of 5G Communication Networks, Resources, and Services

Designing, dimensioning, and optimization of communication networks resources and services have been inseparable parts of the development of telecommunications since the very beginning of their existence [...]

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Published in	Applied sciences Vol. 12; no. 4; p. 1859
Main Authors	Moscholios, Ioannis, Głąbowski, Mariusz, Sarigiannidis, Panagiotis, Logothetis, Michael
Format	Journal Article
Language	English
Published	Basel MDPI AG 01.02.2022
Subjects	Adaptive algorithms Adaptive filters Algorithms Broadband Cloud computing Communication networks Communications networks Communications systems Data transmission End users Error signals Field programmable gate arrays Frequency domain analysis n/a Network security New technology Optimization Optimization algorithms Parameters Quality of service architectures Radio frequency Simulation Time factors Traffic Traffic congestion Wireless networks
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Abstract	Designing, dimensioning, and optimization of communication networks resources and services have been inseparable parts of the development of telecommunications since the very beginning of their existence [...]
AbstractList	Designing, dimensioning, and optimization of communication networks resources and services have been inseparable parts of the development of telecommunications since the very beginning of their existence [...] The global network of 5G remains a network of many heterogeneous systems interacting with each other, while widely used broadband mobile devices and cloud computing have given rise to tremendous growth in network traffic. No matter what these developing changes may bring, the essential tasks for modern communication networks remain the same over the years—namely, (1) to develop new technologies offering increasing network capacity, (2) to determine and evaluate the relationship between the quality of service (quality of experience) parameters and the parameters characterizing traffic sources (services), (3) to control and optimize the usage of network resources, and (4) to enhance the capabilities of data transport, transmission, and reception between end users and the core network. The 13th paper, authored by Z. Sun and Y. Zhao, proposes a novel time-varying least mean square adaptive filtering algorithm, with the aim to cancel the self-interference of near-end transceivers in co-frequency co-time full-duplex (CCFD) systems of the radio frequency domain [13]. The proposed algorithm solves the problem of strong self-interference of the radio frequency domain in CCFD systems by cooperatively controlling the autocorrelation values between the time factor and the error signal, to update the step size
Author	Sarigiannidis, Panagiotis Moscholios, Ioannis Logothetis, Michael Głąbowski, Mariusz
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Copyright	2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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SubjectTerms	Adaptive algorithms Adaptive filters Algorithms Broadband Cloud computing Communication networks Communications networks Communications systems Data transmission End users Error signals Field programmable gate arrays Frequency domain analysis n/a Network security New technology Optimization Optimization algorithms Parameters Quality of service architectures Radio frequency Simulation Time factors Traffic Traffic congestion Wireless networks
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