A1 Journal article (refereed)
Resource Allocation and Computation Offloading for Multi-Access Edge Computing with Fronthaul and Backhaul Constraints (2021)

Chen, J., Chang, Z., Guo, X., Li, R., Hämäläinen, T., & Han, Z. (2021). Resource Allocation and Computation Offloading for Multi-Access Edge Computing with Fronthaul and Backhaul Constraints. IEEE Transactions on Vehicular Technology, 70(8), 8037-8049. https://doi.org/10.1109/TVT.2021.3090246

JYU authors or editors

Publication details

All authors or editors: Chen, Jun; Chang, Zheng; Guo, Xijuan; Li, Renchuan; Hämäläinen, Timo; Han, Zhu

Journal or series: IEEE Transactions on Vehicular Technology

ISSN: 0018-9545

eISSN: 1939-9359

Publication year: 2021

Volume: 70

Issue number: 8

Pages range: 8037-8049

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TVT.2021.3090246

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79747

Abstract

Edge computing is able to provide proximity solutions for the future wireless network to accommodate different types of devices with various computing service demands. Meanwhile, in order to provide ubiquitous connectivities to massive devices over a relatively large area, densely deploying remote radio head (RRH) is considered as a cost-efficient solution. In this work, we consider a vertical and heterogeneous multi-access edge computing system. In the system, the RRHs are deployed for providing wireless access for the users and the edge node with computing capability can process the computation requests from the users. With the objective to minimize the total energy consumption for processing the computation task, a joint radio resource allocation and offloading decision optimization problem is presented under the explicit consideration of capacity constraints of fronthaul and backhaul links. Due to the non-convexity of the formulated problem, we divide the original problem into several sub-problems and address them accordingly to find the optimal solution. Extensive simulation studies are conducted and illustrated to evaluate the advantages of the proposed scheme.

Keywords: edge computing; wireless technology; wireless networks; resourcing; energy consumption (energy technology); optimisation

Free keywords: multi-access edge computing; fronthaul/backhaul link; offloading; resource allocation

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2021

JUFO rating: 3