Resource optimization for blockchain-enabled multi-access edge computing using DDPG algorithm

Chao Ma; Bizhu Yang; Rongyang Xie; Yifei Wei

doi:10.1117/12.3009390

11 October 2023 Resource optimization for blockchain-enabled multi-access edge computing using DDPG algorithm

Chao Ma, Bizhu Yang, Rongyang Xie, Yifei Wei

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291803 (2023) https://doi.org/10.1117/12.3009390
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Based on the service-oriented nature that 5G possesses, network slicing can build logical virtual networks in which various services are supplied by a common physical infrastructure. The function of network slicing is decided by the management of multidimensional resources that multi-access edge computing (MEC) offers. This paper presents the optimization of communication and computing resources in blockchain-enabled MEC network slicing. Given its immutability and traceability, blockchain is used to keep records of information concerning resource optimization, including resource information, system utility and slice strategy. The optimization goal of the resource allocation problem is to ensure the quality of service while maximizing the utility gained by the mobile network operator. The optimal resource allocation strategy is obtained using the deep deterministic policy gradient algorithm. The availability of the algorithm is proved through numerical simulations.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chao Ma, Bizhu Yang, Rongyang Xie, and Yifei Wei "Resource optimization for blockchain-enabled multi-access edge computing using DDPG algorithm", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291803 (11 October 2023); https://doi.org/10.1117/12.3009390

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