Alhabo, M, Zhang, L orcid.org/0000-0002-4535-3200 and Nawaz, N (2022) Energy Efficient Handover for Heterogeneous Networks: A Non-Cooperative Game Theoretic Approach. Wireless Personal Communications, 122 (3). pp. 2113-2129. ISSN 0929-6212
Abstract
The small cell technology is considered as a key technology for 5G networks. The capacity expansion and coverage extension are both achieved through this deployment. However, the ultra-dense small cells deployment can cause a severe interference, a high number of frequent unnecessary handovers and/or handover failure and hence, high power consumption is expected due to the signalling overhead. Placing some small cells into idle mode, without causing degradation to the quality of service, is a good strategy to enhance the energy efficiency in the network. In this paper, we propose an energy efficient game theoretical method to reduce the energy consumption in dense small cells network. The proposed method enables the small cells to adjust their transmitting power while considering to balance the load among themselves. A non-cooperative game is formulated among the cells in the network to solve the cost function which considers both the power mode and its load. The game is solved using the regret matching-based learning distribution approach in which each cell chooses its optimal transmit power strategy to reach the equilibrium. The cell selection for handover is then made using a multiple attribute TOPSIS technique. Results show that the proposed method significantly reduces the power consumption and unnecessary handovers, in addition to improving the average small cell throughput compared to the conventional method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. This is an author produced version of an article published in Wireless Personal Communications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Energy efficiency; Game theory; Handover; HetNets; Small cells |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Aug 2021 12:46 |
Last Modified: | 21 Aug 2022 00:13 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/s11277-021-08983-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177157 |