Abstract
Mobile edge computing (MEC) caches data and services from remote cloud to the edge of network. In this way, MEC lets user equipment (UE) more closer to data and services than traditional cloud computing. Service providers (SPs) deploy their own base stations (BSs) to provide high quality services to their subscribers in MEC networks. SPs get their total revenue from their subscribers, but face the cost of energy and acquiring resources. In this paper, we attempt to maximize the final profit of SPs base on a novel resource allocation method to cut down the cost of energy and acquiring resources. The simulation results indicate that our scheme increases the final profit of SPs, compared to the existing methods.
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Acknowledgment
This work is supported by the Shenzhen Basic Research Program (Project No. JCYJ20190806143011274) and National Natural Science Foundation of China (No. 61772154).
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Zeng, G., Zhang, C., Du, H. (2020). An Efficient Mechanism for Resource Allocation in Mobile Edge Computing. In: Wu, W., Zhang, Z. (eds) Combinatorial Optimization and Applications. COCOA 2020. Lecture Notes in Computer Science(), vol 12577. Springer, Cham. https://doi.org/10.1007/978-3-030-64843-5_44
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DOI: https://doi.org/10.1007/978-3-030-64843-5_44
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