Research Article
Edge Computing Offload and Resource Allocation Strategy with Pairing Theory
@INPROCEEDINGS{10.1007/978-3-031-60347-1_23, author={Cuiling Li and Xiaofang Deng and Ran Huang and Lin Zheng and Chao Yang}, title={Edge Computing Offload and Resource Allocation Strategy with Pairing Theory}, proceedings={Mobile Multimedia Communications. 16th EAI International Conference, MobiMedia 2023, Guilin, China, July 22-24, 2023, Proceedings}, proceedings_a={MOBIMEDIA}, year={2024}, month={10}, keywords={Mobile edge networks Computing offload User pairing Resource allocation System utility}, doi={10.1007/978-3-031-60347-1_23} }- Cuiling Li
Xiaofang Deng
Ran Huang
Lin Zheng
Chao Yang
Year: 2024
Edge Computing Offload and Resource Allocation Strategy with Pairing Theory
MOBIMEDIA
Springer
DOI: 10.1007/978-3-031-60347-1_23
Abstract
The contradiction between the explosive growth of data traffic and the lack of edge server resources brings great challenges to the resource allocation of mobile edge networks (MEC). In order to improve the utilization rate of the resources of the MEC, this paper proposes a resource allocation strategy based on stable user pairing. Firstly, the frame structure of the mobile edge computing network is optimized based on the user matching model, and the matching service is classified according to the elements in the frame structure. Secondly, a resource allocation protocol based on stable user matching is proposed. Then, the system utility analysis is carried out on the unloading benefit and pairing benefit of users, and the optimization function of maximizing the system utility is established. A dynamic task unloading and resource allocation mechanism based on pairing theory is proposed. The simulation results show that the proposed algorithm reaches the convergence value quickly and the system benefit is high. Compared with the resource allocation schemes of various algorithms, it is proved that the scheme can effectively improve the performance of system capacity, delay and fairness.
