Open Access
ARTICLE
Resource Allocation in Edge-Computing Based Wireless Networks Based on Differential Game and Feedback Control
Ruijie Lin1, Haitao Xu2, *, 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.
Keywords
Cite This Article
R. Lin, H. Xu, M. Li and Z. Zhang, "Resource allocation in edge-computing based wireless networks based on differential game and feedback control,"
Computers, Materials & Continua, vol. 64, no.2, pp. 961–972, 2020. https://doi.org/10.32604/cmc.2020.09686
Citations