Future Industrial Internet-of-Things in the upcoming 6G era is expected to deploy artificial intelligence (AI) and digital twins (DTs) ubiquitously. As a complement to conventional AI solutions, emergent intelligence (EI) exhibits various outstanding features including robustness, protection to privacy, and scalability, which makes it competitive for 6G IIoT applications. However, despite its low computational complexity, it is challenged by its high demand of data traffic in massive deployment. In this paper, we propose to exploit the massive twinning paradigm, which 6G is envisaged to support, to reduce the data traffic in EI and therewith enhance its performance.
翻译：在即将到来的6G时代,未来的工业互联网预期会无处不在地部署人工智能(AI)和数字双胞胎(DTs),作为对传统AI解决方案的补充,新兴智能(EI)展示了各种突出的特征,包括稳健性、隐私保护和可扩缩性,这使得其在6G IIOT应用中具有竞争力。然而,尽管计算复杂程度低,但它仍面临大规模部署对数据传输的高需求的挑战。在本文件中,我们提议利用大规模配对模式,预计6G将支持这一模式,以减少EI的数据流量,从而提升其性能。
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