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Enhancing 5G network performance through effective resource management with network slicing

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 4 (2024)

DOI
10.11591/ijece.v14i4.pp4721-4731
ISSN
2722-2578, 2088-8708
Published
2024-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The immense growth of mobile networks leads to versatile applications and new demands. The improved concert, transferability, flexibility, and performance of innovative network services are applied in diversified fields. More unique networking concepts are incorporated into state-of-the-art mobile technologies to expand these dynamic features further. This paper presents a novel system architecture of slicing and pairing networks with intra-layer and inter-layer functionalities in 5th generation (5G) mobile networks. The radio access network layer slices and the core network layer slices are paired up using the network slicing pairing functionalities. The physical network elements of such network slices will be logically assigned entities called softwarization of the network. Such a novel system architecture called network sliced softwarization of 5G mobile networks (NSS-5G) has shown better performances in terms of end-to-end delay, total throughput, and resource utilization when compared to traditional mobile networks. Thus, effective resource management is achieved using NSS-5G. This study will pave the way for future softwarization of heterogeneous mobile applications.

Collaboration network of the authors

24 authors · 84 co-authorship links · 29 across different organisations

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  • SRM Institute of Science and Technology
  • Koneru Lakshmaiah Education Foundation
  • Saveetha University
  • St. Peter's Institute of Higher Education and Research
  • Capital One (United States)
  • Dr. M.G.R. Educational and Research Institute
  • CMR University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
S. MuruganSaveetha University2
Malothu AmruCMR University1
R. Jagadeesh KannanSRM Institute of Science and Technology1
Surulivelu MuthumarilakshmiAffiliation unknown1
Kuppan PadmanabanKoneru Lakshmaiah Education Foundation1
Jeyaprakash JeyapriyaAffiliation unknown1
P. S. RamaprabaAffiliation unknown1
Bellam Ravindra BabuAdama Science and Technology University1
Nallathampi Rajamani Rejin PaulAffiliation unknown1
Varadan SharmilaR.M.D. Engineering College1
Raman RamyaAffiliation unknown1
Muthukathan Rajendran SudhaSRM Institute of Science and Technology1
Gnanamuthu Bai Hema MaliniAffiliation unknown1
R. SankarAffiliation unknown1
Murugaaboopathy MythilyAffiliation unknown1
Piskala Sathiyamurthy KumareshAffiliation unknown1
Shanmugam SujathaSaveetha University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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