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 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 или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science