A Survey of Self Organisation in Future Cellular Networks

By Osianoh Glenn Aliu, Ali Imran, Muhammad Ali Imran, B. Evans. IEEE Communications Surveys and Tutorials, 2013

419 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/15848593e2d46b577e2ea89c9f819f70e5b5248a

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Challenges in 5G: how to empower SON with big data for enabling 5G (2014, background): “[9] [10].”
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems (2017, background): “Also, in future wireless networks, self-organization has been identiﬁed as a critical issue by a number of researchers [250].”
User-Centric Cell-Free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (2021, background): “As discussed in [178], the dense deployment of the transmitters motivates the implementation of a SON, not to mention the interesting reduction in operation cost that a SON can potentially provide.”
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, methodology): “most used unsupervised learning schemes utilized for parameter optimization and feature learning in SON [290].”
A Survey on Wireless Security: Technical Challenges, Recent Advances, and Future Trends (2015, background): “structure and services have been proliferating with the goal of meeting rapidly increasing demands [1], [2].”
What Will 5G Be? (2014, background): “In an interference-limited network with full buffers, the signal-to-interference-plus-noise ratio (SINR) is essentially equal to the SIR and, because the SIR distribution remains approximately constant as the network densiﬁes, the best case scenario is ρ ≈ 1 .”
Ultra-Dense Networks: A Survey (2016, methodology): “Also, the transmission power of each node is small and the OAM functions are automated via self organizing network functionality (SON) [178].”
Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both? (2019, background): “As a consequence, operational expenditures (OPEX) and capital expenditures (CAPEX), which are already a major challenge in present wireless networks [5], will significantly increase.”
A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions (2023, methodology): “Since the company’s Since the company’s information is exposed, this can be considered a security issue [166–170]. information is exposed, this can be considered security issue [166–170].”
A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks (2017, methodology): “In contrast to other surveys in the area, such as [10], which”
Next Generation 5G Wireless Networks: A Comprehensive Survey (2016, methodology): “Self configuration replaces conventional manual configuration process [183].”
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues (2018, background): “CAPEX and OPEX, and to simplify the coordination, optimization and configuration procedures of the network, self-organizing networks have been widely studied [162].”