Building virtualized 5G Networks using open source software
Original version
Dzogovic B, Do VT, Feng B, Do VTDO: Building virtualized 5G Networks using open source software. In: Tahir. Proceedings of 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2018), 2018. IEEE p. 360-366 https://dx.doi.org/10.1109/ISCAIE.2018.8405499Abstract
The upcoming 5G mobile networks will not only bring high data rates but also deliver flexibility and adaptability, which is conveyed by the virtualization of the mobile network. Unfortunately, virtualization of mobile networks is not well understood, and the work described in this paper aims at investigating and elucidating the particular matter. As a starting point, OpenAirInterface, an open source mobile communication software is selected for first virtualization and then cloudification. In addition to the descriptions of the virtualization and cloudification, the paper also provides key findings and lessons learned of the experiments.
Publisher
IEEESeries
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE);Related items
Showing items related by title, author, creator and subject.
-
Why don't all high-trust Networks achieve strong network benefits? A case-based Exploration of Cooperation in Norwegian SME networks
Gausdal, Anne Haugen; Svare, Helge; Möllering, Guido (Journal article; Peer reviewed, 2016)This paper explores the interactions between three focal constructs: network trust, network cooperation and network benefits. While positive interactions between these constructs are generally recognised, a deeper understanding ... -
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Cognitive Neurodynamics;, Journal article; Peer reviewed, 2020-06-11)Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ... -
Within-network connectivity in the salience network after attention bias modification training in residual depression: Report from a preregistered clinical trial
Hilland, Eva; Landrø, Nils Inge; Harmer, Catherine; Maglanoc, Luigi Angelo; Jonassen, Rune (Frontiers in Human Neuroscience; December 2018, Volume 12, Article 508, Journal article; Peer reviewed, 2018-12-21)Alterations in resting state networks (RSNs) are associated with emotional- and attentional control difficulties in depressed individuals. Attentional bias modification (ABM) training may lead to more adaptive emotional ...