Autors: Stoynov, V. R., Poulkov, V. K., Valkova-Jarvis, Z. V., Iliev, G. L., Koleva, P. H.
Title: Ultra-Dense Networks: Taxonomy and Key Performance Indicators
Keywords: asymmetric connectivity; key performance indicators

Abstract: One major influence on the future deployment of cellular networks will be a continuous increase in traffic inside mobile broadband systems. Moreover, traditional macrocell-based mobile communication networks will struggle to keep up with the enormous expansion in the demand for communications services in the future. Densification of networks is required if we are to meet the comprehensive needs for end terminals for a wide range of applications. One of the leading concepts in this competitive environment is the Ultra-Dense Network (UDN) where the access nodes and/or the communication links per unit area are densified, with the aim of improving overall network performance. The location of the UDN nodes meets the criteria for symmetry with a high probability. Ultra-dense cell deployment aims to reduce the physical distance between the transmitter and receiver in order to boost system performance and generally optimize the values of a wide variety of key performance indicators (KPIs).

References

    Issue

    Symmetry, vol. 15, issue 1, 2023, Switzerland, Multidisciplinary Digital Publishing Institute (MDPI), DOI 10.3390/sym15010002

    Copyright Multidisciplinary Digital Publishing Institute (MDPI)

    Цитирания (Citation/s):
    1. Arvindhan, M., Singh, H., "An Innovation Development of Cost Wise Task Scheduling Model for Complex Transmission in Ultra Dense Cloud Networks", 2023 2nd International Conference for Innovation in Technology, INOCON 2023, 2023, DOI: 10.1109/INOCON57975.2023.10101059. - 2023 - в издания, индексирани в Scopus и/или Web of Science
    2. Viciano-Tudela, S., Navarro-Garcia, P., Parra, L., Sendra, S., Lloret, J., "Proposal and Evaluation of Collaborative Event-Triggered Algorithms in Ultra-Dense Wireless Sensor Network", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14166 LNCS, pp. 1-12, 2023, DOI: 10.1007/978-3-031-43815-8_1. - 2023 - в издания, индексирани в Scopus и/или Web of Science
    3. Galeano-Brajones, J., Luna, F., Carmona-Murillo, J., Nebro, A.J., Coello Coello, C.A., Valenzuela-Valdés, J.F. , "Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks", in Engineering Optimization, 2024 - 2024 - в издания, индексирани в Scopus
    4. Dey, T., Bera, S., Mukherjee, A., De, D. "Resource Management in Distributed Computing", Studies in Big Data, 2024, 151, pp. 1-15. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    5. Akbari, M., Bolla, R., Bruschi, R., Davoli, F., Lombardo, C., Siccardi, B. A Monitoring, "Observability and Analytics Framework to Improve the Sustainability of B5G Technologies", in IEEE International Conference on Communications Workshops, ICC Workshops, 2024, pp. 969-975. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    6. Kassim, A.Y., Oduol, V.K., Usman, A.D., "Design and performance evaluation of a 350 m free space optical communications link for pico-macrocell backhauling", in International Journal of Electrical and Computer Engineering, 2024, 14(3), pp. 2725-2736. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    7. Sun, Q., Ding, T., Jian, X., Li, Y., Yu, F., "Research on Localization Algorithm with 5G Opportunistic Signals in Co-channel Interference Environments", in Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46(8), pp. 3136-3145. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    8. Zhou B.; Liu Z.; Su H., "5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey", IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 15291-15313, 2024, DOI: 10.1109/TITS.2024.3420084. - 2024 - в издания, индексирани в Scopus и/или Web of Science
    9. Riaz H., Ozturk S., Aldirmaz-Colak S., Calhan A., A Handover Decision Optimization Method Based on Data-Driven MLP in 5G Ultra-Dense Small Cell HetNets, 2025, Journal of Network and Systems Management, issue 2, vol. 33, DOI 10.1007/s10922-025-09903-6, issn 10647570, eissn 15737705 - 2025 - в издания, индексирани в Scopus
    10. Prasad Tera S., Chinthaginjala R., Pau G., Hoon Kim T., Toward 6G: An Overview of the Next Generation of Intelligent Network Connectivity, 2025, IEEE Access, issue 0, vol. 13, pp. 925-961, DOI 10.1109/ACCESS.2024.3523327, eissn 21693536 - 2025 - в издания, индексирани в Scopus
    11. Abuajwa O., Muhammad S., Ambak Z., Mitani S., Tiang J.-J., Energy Efficiency Techniques in Non-orthogonal Multiple Access (NOMA) in 5G Network: An Overview and Outlook, 2025, Wireless Personal Communications, issue 0, DOI 10.1007/s11277-025-11754-y, issn 09296212, eissn 1572834X - 2025 - в издания, индексирани в Scopus
    12. Mavromatis I., Katsenou A., Bardhi K., Xenos E., Simeonidou D., Connecting the Unconnected: A DT Case Study of Nomadic Nodes Deployment in Nepal, 2025, Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, issue 0, DOI 10.1109/CCNC54725.2025.10976041, issn 23319860 - 2025 - в издания, индексирани в Scopus

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus