University of Oulu

Y. Hsu, H. Wei and M. Bennis, "Green Fog Offloading Strategy for Heterogeneous Wireless Edge Networks," 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6. doi: 10.1109/GLOCOMW.2018.8644285

Green fog offloading strategy for heterogeneous wireless edge networks

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Author: Hsu, Yung-Lin1; Wei, Hung-Yu1; Bennis, Mehdi2
Organizations: 1Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
2Centre for wireless communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-03-24


Multi-access/Mobile Edge Computing (MEC) and fog computing are promising techniques to satisfy low latency requirements for emerging next generation applications. Moving computation entities closer to a user could reduce the overall serving latency. In terms of green communications, given the latency constraint, how to minimize the power consumption at the user equipment (UE) and the edge node (EN) sides is important. Considering several edge nodes, partially offloading a user’s task to one or more edge nodes is key. In this paper, a multi-node partial task offloading MEC scenario is discussed, in which UEs locally compute the task and share the remainder with other edge nodes. In addition, a green task distribution algorithm which minimizes the system power consumption is proposed, considering queueing, transmitting and computing delay. The simulation results show that the proposed algorithm minimizes the power consumption while meeting the latency requirements, and the power saving efficiency outperforms a binary offloading strategy. Moreover, the coupling effects between the latency requirements, offloading signal strength within the edge nodes, computation capability of edge nodes and the number of subcarriers used to transmit the offloading task are discussed.

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ISBN: 978-1-5386-6977-8
ISBN Print: 978-1-5386-4920-6
Pages: 1 - 6
Article number: 8644285
DOI: 10.1109/GLOCOMW.2018.8644285
Host publication: 2018 IEEE Globecom Workshops (GC Wkshps) : Proceedings
Conference: IEEE Globecom Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The research is partly funded by MOST of Taiwan under grant 106-2923-E-002-015 MY3, 107-2923-E-002-006-MY3, and 105-2221-E-002 -014-MY3, and by the EU Horizon 2020 grant No 761745.
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