Enriching self-organizing networks use cases with opportunistic features: a coverage and capacity optimization paradigm

2013 ◽  
Vol 23 (4) ◽  
pp. 272-286 ◽  
Author(s):  
Dimitrios Karvounas ◽  
Panagiotis Vlacheas ◽  
Andreas Georgakopoulos ◽  
Vera Stavroulaki ◽  
Panagiotis Demestichas
Keyword(s):  
Use Cases ◽  
Capacity Optimization ◽  
Self Organizing Networks ◽  
Self Organizing

Wi-Fi Self-Organizing Networks: Challenges and Use Cases

2017 ◽  
Vol 55 (7) ◽  
pp. 158-164 ◽  
Author(s):  
Haris Gacanin ◽  
Amir Ligata
Keyword(s):  
Use Cases ◽  
Self Organizing Networks ◽  
Self Organizing

Magnetic Field Model (MFM) in Soft Computing and parallelization techniques for Self Organizing Networks (SON) in Telecommunications

2014 ◽  
Vol 3 (3) ◽  
pp. 57-71
Author(s):  
Premnath K N ◽  
Srinivasan R ◽  
Elijah Blessing Rajsingh
Keyword(s):  
Magnetic Field ◽  
Soft Computing ◽  
Field Model ◽  
Use Cases ◽  
Journal Paper ◽  
Vast Literature ◽  
Magnetic Field Model ◽  
Algorithmic Techniques ◽  
Self Organizing Networks ◽  
Self Organizing

Self Organizing Networks (SON) requires efficient algorithms and effective real time and faster execution techniques to meet the SON requirements (use cases & desired functionalities) (as cited in Srinivasan R and Premnath K N., 2011). The essence of this journal paper is to showcase that Magnetic Field Model (MFM) (as cited in Premnath K N et al., 2013) can be applied in prominent soft computing and parallelization techniques for SON applications, functionalities and use cases. Vast literature and practical approaches are available as part of advancements in Machine Learning, Artificial Intelligence and Fuzzy logic. Based on inspiration from nature's behavior Swarm Intelligence derived from the behaviors of Ant colony and Genetic Algorithms (Evolutionary Algorithms) are some algorithmic techniques to mention.Parallelization of MFM for centralized, hybrid SON use cases is discussed with key inspiration from Google Map Reduce (as cited in Jeffrey Dean and Sanjay Ghemawat., 2004).

Application of Fractal Methods to Ensure the Cyber-Resilience of Self-Organizing Networks

2019 ◽  
Vol 22 (4) ◽  
pp. 336-341
Author(s):  
D. V. Ivanov ◽  
D. A. Moskvin
Keyword(s):  
Information Security ◽  
Network Structure ◽  
Self Regulation ◽  
Security Threats ◽  
Self Organizing Networks ◽  
Self Organizing ◽  
Fractal Methods

In the article the approach and methods of ensuring the security of VANET-networks based on automated counteraction to information security threats through self-regulation of the network structure using the theory of fractal graphs is provided.

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