A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks

Abubakar, A. I. , Mollel, M. S. , Öztürk, M., Hussain, S. and Imran, M. A. (2022) A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks. Physical Communication, 52, 101643. (doi: 10.1016/j.phycom.2022.101643)

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One of the major capacity boosters for 5G networks is the deployment of ultra-dense heterogeneous networks (UDHNs). However, this deployment results in a tremendous increase in the energy consumption of the network due to the large number of base stations (BSs) involved. In addition to enhanced capacity, 5G networks must also be energy efficient for it to be economically viable and environmentally friendly. Dynamic cell switching is a very common way of reducing the total energy consumption of the network, but most of the proposed methods are computationally demanding, which makes them unsuitable for application in ultra-dense network deployment with massive number of BSs. To tackle this problem, we propose a lightweight cell switching scheme also known as Threshold-based Hybrid cEll swItching Scheme (THESIS) for energy optimization in UDHNs. The developed approach combines the benefits of clustering and exhaustive search (ES) algorithm to produce a solution whose optimality is close to that of the ES (which is guaranteed to be optimal), but is computationally more efficient than ES and as such can be applied for cell switching in real networks even when their dimension is large. The performance evaluation shows that THESIS significantly reduces the energy consumption of the UDHN and can reduce the complexity of finding a near-optimal solution from exponential to polynomial complexity.

Item Type:Articles
Additional Information:This work was supported by the Tertiary Education Trust Fund (TETFund) of the Federal Republic of Nigeria.
Glasgow Author(s) Enlighten ID:Öztürk, Metin and Mollel, Michael Samwel and Abubakar, Mr Attai and Imran, Professor Muhammad and Hussain, Dr Sajjad
Creator Roles:
Abubakar, A. I.Conceptualization, Methodology, Software, Writing – original draft
Mollel, M. S.Conceptualization, Methodology, Software, Data curation, Visualization
Öztürk, M.Visualization, Writing – review and editing
Hussain, S.Supervision, Writing – review and editing, Validation
Imran, M.Supervision, Writing – review and editing, Validation
Authors: Abubakar, A. I., Mollel, M. S., Öztürk, M., Hussain, S., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:Physical Communication
ISSN (Online):1874-4907
Published Online:12 February 2022

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