scholarly journals THE MULTI-ACCESS EDGE COMPUTING APPLICATIONS AND DEVELOPMENT ANALYSIS FOR TELECOMMUNICATION NETWORKS

Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 28-33 ◽  
Author(s):  
D. Kashkarov ◽  
A. Koucheryavy

Research subject. The article is devoted to the analysis of the applications and development the multi-access edge computing on fifth-generation and beyond telecommunication networks. Method. System analysis. Core results. The identification of development perspectives of a multi-access edge computing on fifth-generation and beyond telecommunication networks. Practical relevance. The results of the article can be used by scientific organizations when planning the development of telecommunication networks, as well as universities in the educational process.

Telecom IT ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 55-62
Author(s):  
D. Vorobyova ◽  
A. Koucheryavy

Research subject. The article is devoted to analysis of related works and perspective investigation areas to coverage in the wireless sensor networks. Method. System analysis. Core results. The identification of development perspectives of a coverage in the wireless sensor networks. Practical relevance. The results of the article can be used by scientific organizations when planning the development of telecommunication networks, as well as universities in the educational process.


Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 22-27
Author(s):  
E. Tonkikh

Research subject. The article is devoted to the analysis of the characteristics of the density of devices in fifth-generation telecommunication networks. The characteristics of the density of devices and their influence on the structure of fifth-generation telecommunication networks are considered. Method. System analysis. Core results. The scientific tasks in the field of building highdense and ultra high-dense telecommunication networks of the fifth generation and subsequent are determined. Practical relevance. The results of the article can be used by scientific and design organizations when planning the development of telecommunication networks, as well as universities in the educational process.


Telecom IT ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 1-9
Author(s):  
T. Nzinga ◽  
A. Koucheryavy

Research subject. The article is devoted to the analysis of the development of telecommunication net-works in the Republic of Angola and the prospects for their development Method. System analysis. Core results. Determination of promising areas of research in the development of communication net-works in terms of their creation in sparsely populated and hard-to-reach areas. Practical relevance. The results of the article can be used to modernize the telecommunication network of the Republic of Angola.


2022 ◽  
Vol 54 (9) ◽  
pp. 1-37
Author(s):  
Pasika Ranaweera ◽  
Anca Jurcut ◽  
Madhusanka Liyanage

The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.


Telecom ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 446-471
Author(s):  
Percy Kapadia ◽  
Boon-Chong Seet

This paper proposes a potential enhancement of handover for the next-generation multi-tier cellular network, utilizing two fifth-generation (5G) enabling technologies: multi-access edge computing (MEC) and machine learning (ML). MEC and ML techniques are the primary enablers for enhanced mobile broadband (eMBB) and ultra-reliable and low latency communication (URLLC). The subset of ML chosen for this research is deep learning (DL), as it is adept at learning long-term dependencies. A variant of artificial neural networks called a long short-term memory (LSTM) network is used in conjunction with a look-up table (LUT) as part of the proposed solution. Subsequently, edge computing virtualization methods are utilized to reduce handover latency and increase the overall throughput of the network. A realistic simulation of the proposed solution in a multi-tier 5G radio access network (RAN) showed a 40–60% improvement in overall throughput. Although the proposed scheme may increase the number of handovers, it is effective in reducing the handover failure (HOF) and ping-pong rates by 30% and 86%, respectively, compared to the current 3GPP scheme.


Telecom IT ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 1-10
Author(s):  
A. Abdellah ◽  
A. Koucheryavy

Research subject. Fifth-generation telecommunication networks are currently the determining direction of telecommunications development as a whole. At the same time, the complexity of the processes of functioning of fifth-generation telecommunication networks increases by an order of magnitude compared to existing networks. All this requires the use of new technologies, including artificial intelligence, to ensure the stable functioning of telecommunication networks. Method. System analysis. Core results. The scientific tasks for the fifth generation communication networks, in which the use of artificial intelligence seems appropriate, including machine and deep learning, are identified. Practical significance. The results of the work can be useful in the education process in the field of networks and telecommunication systems, as well as for setting new scientific tasks for PhD students.


2021 ◽  
Vol 27 (2) ◽  
pp. 78-85
Author(s):  
Ivaylo I. Atanasov ◽  
Evelina N. Pencheva

Network programmability and edge computing as key features of next generation communications enable innovative services. While the programmability is focused on the core network of the fifth-generation system, the edge computing moves the network intelligence to the radio access network. This paper presents a study on the programmability of connectivity control as a function of radio access network using Multi-access Edge Computing. The capability of using more than one radio access technology simultaneously enhances reliability and increases the throughput, especially in dense networks. Opening the radio access network interfaces for programmability of multi-connectivity enables analytics applications to control the device connections to multiple radio links simultaneously based on information of radio conditions, user location or specific policies. The research novelty is in opening the radio access network interfaces for edge applications to access connectivity control.


2019 ◽  
Vol 3 (2) ◽  
pp. 26-34 ◽  
Author(s):  
Lanfranco Zanzi ◽  
Flavio Cirillo ◽  
Vincenzo Sciancalepore ◽  
Fabio Giust ◽  
Xavier Costa-Perez ◽  
...  
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