Research on Collaborative Computing Offloading Model for Base Station Groups Based on Fireworks Algorithm

Authors

Bin Xu, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2.Nanjing Pharmaceutical Co. , Ltd. , Nanjing 210012, China;3.Jiangsu Key Laboratory of Data Science and Smart Software, Jinling Institute of Technology, Nanjing 211169, China;Follow
Wenqing Yan, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
Zhuofan Han, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
Guangshen He, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
Tao Deng, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
Yunkai Zhao, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
Jin Qi, 1.Nanjing University of Posts and Telecommunications, Nanjing 210003, China;

Abstract

Abstract: Internet of Vehicles (IoV), AR, AI, and other computing-intensive, time-delay-sensitive applications are developing rapidly. However, due to the relatively insufficient computing capacity of mobile devices, such application tasks face serious latency, which seriously affects user experience and even fails to meet the needs of users. To solve this problem, by comprehensively considering delays and costs, we propose a cooperative computing offloading model based on a multi-user and multi-mobile edge computing (multi-MEC) server for base station groups. In addition, an improved fireworks algorithm based on convex optimization (CVX-FWA) is presented to solve the model and perform reasonable offloading and resource allocation for user tasks. The simulations show that the computing offloading scheme proposed effectively reduces the execution delay and cost of all user tasks and realizes the overall optimal allocation of computing offloading resources.

Recommended Citation

Xu, Bin; Yan, Wenqing; Han, Zhuofan; He, Guangshen; Deng, Tao; Zhao, Yunkai; and Qi, Jin (2022) "Research on Collaborative Computing Offloading Model for Base Station Groups Based on Fireworks Algorithm," Journal of System Simulation: Vol. 34: Iss. 2, Article 18.
DOI: 10.16182/j.issn1004731x.joss.20-0700
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/18

First Page

354

Revised Date

2021-01-06

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0700

Last Page

365

CLC

TP393

Recommended Citation

Bin Xu, Wenqing Yan, Zhuofan Han, Guangshen He, Tao Deng, Yunkai Zhao, Jin Qi. Research on Collaborative Computing Offloading Model for Base Station Groups Based on Fireworks Algorithm[J]. Journal of System Simulation, 2022, 34(2): 354-365.

DOI

10.16182/j.issn1004731x.joss.20-0700