University of Oulu

S. Batewela, C. Liu, M. Bennis, H. A. Suraweera and C. S. Hong, "Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing," in IEEE Communications Letters, vol. 24, no. 3, pp. 617-621, March 2020.

Risk-sensitive task fetching and offloading for vehicular edge computing

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Author: Batewela, Sadeep1; Liu, Chen-Feng2; Bennis, Mehdi2,3;
Organizations: 1Nokia Networks, 33100 Tampere, Finland
2Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
3Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, South Korea
4Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-02-19


This letter studies an ultra-reliable low latency communication problem focusing on a vehicular edge computing network in which vehicles either fetch and synthesize images recorded by surveillance cameras or acquire the synthesized image from an edge computing server. The notion of risk-sensitive in financial mathematics is leveraged to define a reliability measure, and the studied problem is formulated as a risk minimization problem for each vehicle’s end-to-end (E2E) task fetching and offloading delays. Specifically, by resorting to a joint utility and policy estimation-based learning algorithm, a distributed risk-sensitive solution for task fetching and offloading is proposed. Simulation results show that our proposed solution achieves performance improvements up to 40% variance reduction and steeper distribution tail of the E2E delay over an averaged-based baseline.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 24
Issue: 3
Pages: 617 - 621
DOI: 10.1109/LCOMM.2019.2960777
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Academy of Finland project CARMA, in part by the Academy of Finland project MISSION, in part by the Academy of Finland project SMARTER, in part by the INFOTECH project NOOR, in part by the Kvantum Institute strategic project SAFARI, and in part by the Nokia Foundation.
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