Recently, resource trading has been regarded as a promising solution to deal with the resource scarcity of Internet-of-Things devices (IoTDs) to meet the performance requirements of sixth-generation (6G) networks. As 6G networks evolve to support diverse applications across multiple domains, trading of resources becomes essential to ensure efficient allocation and utilization of resources. However, ensuring transaction security and trust among traders and determining the best trading strategy for mobile virtual network operators (MVNOs) and IoTDs are challenging tasks. In this article, we first explore the resource trading literature and the types of resources IoTDs want to trade. Second, we investigate the trading strategies and pricing models for resource trading in 6G. Third, we present an artificial intelligence (AI)-native blockchain for multidomain resource trading (ABMRT) framework combining blockchain, AI approaches, and trading models that involve multiple MVNOs and IoTDs with varying service demands. The proposed framework is designed to support the diversified resource requirements of the IoTDs in a multidomain trading scenario. Finally, we discuss some challenges and future directions of resource trading in 6G networks.

中文翻译：

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用于6G多域资源交易的AI原生区块链


最近，资源交易被认为是解决物联网设备（IoTD）资源稀缺问题的有前途的解决方案，以满足第六代（6G）网络的性能要求。随着 6G 网络发展到支持跨多个领域的多样化应用，资源交易对于确保资源的有效分配和利用变得至关重要。然而，确保交易安全和交易者之间的信任，并为移动虚拟网络运营商（MVNO）和 IoTD 确定最佳交易策略是一项具有挑战性的任务。在本文中，我们首先探讨资源交易文献以及 IoTD 想要交易的资源类型。其次，我们研究了6G中资源交易的交易策略和定价模型。第三，我们提出了一种用于多域资源交易（ABMRT）框架的人工智能（AI）原生区块链，结合了区块链、人工智能方法和交易模型，涉及具有不同服务需求的多个 MVNO 和 IoTD。所提出的框架旨在支持多域交易场景中 IoTD 的多样化资源需求。最后，我们讨论了 6G 网络中资源交易的一些挑战和未来方向。