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Expansive networks: Exploiting spectrum sharing for capacity boost and 6G vision

机译:膨胀网络:利用容量升压和6G视觉的频谱共享

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Adaptive capacity with cost-efficient resource provisioning is a crucial capability for future 6G networks. In this work, we conceptualize "expansive networks" which refers to a networking paradigm where networks should be able to extend their resource base by opportunistic but self-controlled expansive actions. To this end, we elaborate on a key aspect of an expansive network as a concrete example: Spectrum resource at the PHY layer. Evidently, future wireless networks need to provide efficient mechanisms to coexist in the licensed and unlicensed bands and operate in expansive mode. In this work, we first describe spectrum sharing issues and possibilities in 6G networks for expansive networks. We then present security implications of expansive networks, an important concern due to more open and coupled systems in expansive networks. We also discuss two key enablers, namely distributed ledger technology (DLT) and network intelligence via machine learning, which are promising to realize expansive networks for the spectrum sharing aspect.
机译:具有成本高效的资源配置的自适应容量是未来6G网络的关键能力。在这项工作中,我们概念化了“扩展网络”,这是指网络范式,网络应该能够通过机会主义但自我控制的扩展行动扩展其资源基础的网络范式。为此,我们详细阐述了膨胀网络的关键方面作为具体示例:PHY层的频谱资源。显然,未来的无线网络需要提供有效的机制来共存在许可和未许可的频带中并以膨胀模式运行。在这项工作中,我们首先描述6G网络中的频谱共享问题和可能性,用于广泛网络。然后,我们向广泛网络呈现安全影响,这是由于广泛网络中的更多开放和耦合系统的重要关注。我们还通过机器学习讨论了两个关键的推动力,即分布式分类账技术(DLT)和网络智能,这是有希望实现频谱共享方面的扩展网络。

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