Open Access

ARTICLE

Resource Allocation in Edge-Computing Based Wireless Networks Based on Differential Game and Feedback Control

Ruijie Lin¹, Haitao Xu^{2, *}, Meng Li³, Zhen Zhang⁴

1 China Telecommunication Technology Labs-Terminals, China Academy of Information and Communications Technology, Beijing, 10083, China.
2 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
3 Department of Civil Engineering, Tsinghua University, Beijing, 100084, China.
4 Audio Analytic, Cambridge, CB5 8AB, UK.

* Corresponding Author: Haitao Xu. Email: .

Computers, Materials & Continua 2020, 64(2), 961-972. https://doi.org/10.32604/cmc.2020.09686

Received 15 January 2020; Accepted 11 April 2020; Issue published 10 June 2020

Abstract

In this paper, we have proposed a differential game model to optimally solve the resource allocation problems in the edge-computing based wireless networks. In the proposed model, a wireless network with one cloud-computing center (CC) and lots of edge services providers (ESPs) is investigated. In order to provide users with higher services quality, the ESPs in the proposed wireless network should lease the computing resources from the CC and the CC can allocate its idle cloud computing resource to the ESPs. We will try to optimally allocate the edge computing resources between the ESPs and CC using the differential game and feedback control. Based on the proposed model, the ESPs can choose the amount of computing resources from the CC using feedback control, which is affected by the unit price of computing resources controlled by the CC. In the simulation part, the optimal allocated resources for users’ services are obtained based on the Nash equilibrium of the proposed differential game. The effectiveness and correctness of the proposed scheme is also verified through the numerical simulations and results.

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Citations