Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18394
Title: Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks
Authors: Yaseen, FA
Al-Raweshidy, HS
Keywords: 5G;control plane;communication networks;SDN;NFV
Issue Date: 14-Jun-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Yaseen, F.A. and Al-Raweshidy, H.S. (2019) 'Mini-Base Station: A Novel Smart Virtual eNB for 5G and Beyond Mobile Networks', IEEE Access, 7, pp. 78560 - 78570. doi: 10.1109/ACCESS.2019.2923056.
Abstract: This paper presents a proposal for an innovative base station for 5G and beyond for a mobile network system based on the evolved packet system (EPS). Functions of EPS elements can be achieved by the SVeNB, according to the type of function or service and the device that is used to achieve that function or service. The current system, even if these functions and services have been virtualized by the system, it may put them away from the users. Consequently, this causes a delay in completing the establishment of a connection. Since these functions and services can be virtualized and programmed in virtual machines (VMs), we have been simulated the kernel of those functions and services executed by the SVeNB through its VMs. Moreover, The SVeNB position is located close to the users, which helps to reduce the End-to-End delay. Our proposed approach gives the SVeNB the ability to share and contribute in making decisions with the core network (CN) and BaseBand Unit (BBU) pool to initiate a connection, further in making determinations within its vision regarding its users. This procedure leads to a reduction in the load on the BBU pool and the CN, thus lessening the latency, and to increase the data rate that is delivered to the users. That means the SVeNB can regionally decide for all local users that are covered by the SVeNB to connect to each other or the Internet. The MATLAB platform has been used to evaluate the SVeNB performance, with the results demonstrating that it surpasses. The obtained results point that the SVeNB passes the C-RAN system by 68% in terms of user profiles processing, whilst also and it reducing the End-to-End delay by 62%.
URI: https://bura.brunel.ac.uk/handle/2438/18394
DOI: https://doi.org/10.1109/ACCESS.2019.2923056
Other Identifiers: ORCiD: Fouad A. Yaseen https://orcid.org/0000-0001-9003-974X
ORCiD: Hamed S. Al-Raweshidy https://orcid.org/0000-0002-3702-8192
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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