BECS: A Privacy-Preserving Computing Resource Sharing Mechanism for 6G Computing Power Network

TL;DR

The paper tackles efficient and privacy-preserving computing resource sharing in 6G CPN by introducing BECS, a framework that combines a blockchain-based trading platform with a six-objective MOOP solved by an enhanced evolutionary algorithm. The core methodological innovations are NSGA-III-KDR, a kernel distance-based dominance relation to improve diversity in many-objective optimization, and a Schnorr-based pseudonym scheme to protect user privacy during trading. BECS also features a hybrid off-chain/on-chain trading workflow with PoTA-based block generation to balance speed, security, and accountability. Simulation results indicate substantial gains in resource utilization and privacy protection compared with NSGA-III-based baselines, supporting BECS’s potential for scalable, trustful computing collaboration across user, edge, and cloud resources in 6G networks.

Abstract

5G networks provide secure and reliable information transmission services for the Internet of Everything, thus paving the way for 6G networks, which is anticipated to be an AI-based network, supporting unprecedented intelligence across applications. Abundant computing resources will establish the 6G Computing Power Network (CPN) to facilitate ubiquitous intelligent services. In this article, we propose BECS, a computing sharing mechanism based on evolutionary algorithm and blockchain, designed to balance task offloading among user devices, edge devices, and cloud resources within 6G CPN, thereby enhancing the computing resource utilization. We model computing sharing as a multi-objective optimization problem, aiming to improve resource utilization while balancing other issues. To tackle this NP-hard problem, we devise a kernel distance-based dominance relation and incorporated it into the Non-dominated Sorting Genetic Algorithm III, significantly enhancing the diversity of the evolutionary population. In addition, we propose a pseudonym scheme based on zero-knowledge proof to protect the privacy of users participating in computing sharing. Finally, the security analysis and simulation results demonstrate that BECS can fully and effectively utilize all computing resources in 6G CPN, significantly improving the computing resource utilization while protecting user privacy.

Figures (9)

• Figure 1: Overview of the BECS architecture in 6G CPN.
• Figure 2: Encoding of computing resources.
• Figure 3: The IR of computing resource utilization.
• Figure 4: The IR of time consumption.
• Figure 5: The IR of energy consumption.