Ultra-Dense Networks: A Survey

By Mahmoud I. Kamel, Walaa Hamouda, Amr M. Youssef. IEEE Communications Surveys and Tutorials, 2016

871 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2daee015dd66424f0f2c6dd73f66b585e7a66ca6

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, background): “These features can potentially provide the beneﬁts of improved link quality and coverage, increased EE/SE performance, reduced interference and power consumption [6].”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “There is a competing concept of ultra-dense networks (UDN) [46], [47] that also relies on distributed antenna deployment, but each antenna box is then an autonomous BS that services its own exclusive set of users.”
Foundations of User-Centric Cell-Free Massive MIMO (2020, methodology): “, indoor/outdoor, frequency band, coverage area, and distance from the AP to the closest UE location), different types of AP hardware are utilized [94].”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “5G with MEC enables low power consumption for user devices due to process ofﬂoading [130] and low power transmissions [127], allowing the development of more user friendly devices.”
Ultra-dense edge caching under spatio-temporal demand and network dynamics (2017, background): “Upcoming 5G systems are expected to become ultra-dense networks (UDNs) due to relentless user demand growth [1], [2].”
A Tutorial on IEEE 802.11ax High Efficiency WLANs (2019, background): “malls, airports, exhibition halls, dense residential apartments, stadiums, and so on, are all examples of dense environments [5], whose coverage requires a multiplicity of Access”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “d optimization, stochastic geometry, game theory, and machine learning. For more information on these metrics and mathematical tools, we invite the reader to further refer to the following references [278], [285]–[287]. B. Motivations and Challenges While the concept of HetNets has been introduced f”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, methodology): “Additionally, there exist a few survey and overview papers in the area of UDNs [46–48].”
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network (2020, methodology): “Ultra-dense network (UDN) has been proposed as a promising technique for 5G to further enhance the network capacity [4].”
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions (2019, background): “To handle this area traffic capacity demand, cell densification has been proposed with pleasant results under 5G scenarios [125], [126].”