An Optimal Pricing Scheme for the Energy-Efficient Mobile Edge Computation Offloading With OFDMA

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The mobile edge computation offloading (MECO) system has emerged as a promising technology to address several problematic issues in cloud computing such as data throughput, capacity, and security. In this letter, we consider a single-cloud-multi-user MECO system with orthogonal frequency-division multiple access and propose an optimal pricing scheme to consider each mobile user's (MU) need for resources. The proposed model was formulated as a single-leader-multi-user Stackelberg game model, and the Stackelberg equilibrium was provided to optimize the utility of the MUs and the edge cloud. Here, the utility of the MU implies the energy efficiency and payment for using the computation capacity of the edge cloud, and the utility of the edge cloud implies the revenue for serving computation offloading. The optimal strategies of the MUs are uniquely given by closed-form expressions, and that of the edge cloud is given by gradient descent methods. Some numerical examples are provided to verify our approach.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2018-09
Language
English
Article Type
Article
Keywords

RESOURCE-ALLOCATION; RADIO

Citation

IEEE COMMUNICATIONS LETTERS, v.22, no.9, pp.1922 - 1925

ISSN
1089-7798
DOI
10.1109/LCOMM.2018.2849401
URI
http://hdl.handle.net/10203/246041
Appears in Collection
EE-Journal Papers(저널논문)
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