ResCTC: Resilience through Cross-Technology Communication

近年来，宽带无线接入和无线物联网（IoT）技术在未授权无线电频谱（例如ISM/UNII频段）中的扩散呈爆炸式增长。因此，这些频段已经被大量使用各种技术的无线设备所拥挤，这些技术包括WiFi、LTE-U/LAA、ZigBee、2.4 GHz LoRa和蓝牙。虽然这种异构无线网络（HetNets）刺激了新服务和应用程序的部署，但它是以弹性为代价的。HetNets不仅在共享频谱中遭受节点故障和严重的跨技术干扰，而且由于其开放性，它们也非常容易受到选择性干扰。使HetNets更具弹性的一种可能方法是跨技术通信（CTC）。CTC是一个有趣的新范例，它允许在看似不兼容的无线技术之间进行直接的空中通信和数据交换，而无需对无线协议进行任何更改，例如WiFi和ZigBee， WiFi和LoRa， ZigBee和蓝牙，或LTE-U/LAA和WiFi之间。ResCTC项目的目标是利用CTC实现弹性网络和关键安全应用，在未经许可的共享无线电频谱中运行HetNets。基于双方最近在CTC和无线安全方面的工作，ResCTC将共同努力通过CTC解决网络弹性问题，并设计出从基础理论（信息理论和信号处理）到实际软件实现和概念验证演示的综合解决方案。

In recent years, there has been an explosive increase of broadband wireless access and proliferation of wireless Internet of Things (IoT) technologies in the unlicensed radio spectrum, e.g., in the ISM/UNII bands. As a result these bands have become massively crowded by numerous wireless devices making use of diverse technologies including WiFi, LTE-U/LAA, ZigBee, 2.4 GHz LoRa, and Bluetooth. While such heterogeneous wireless networks (HetNets) have spurred the deployment of new services and applications, it comes at the cost of resilience. HetNets not only suffer from node failures and severe cross-technology interference in the shared spectrum but, due to their open nature, they are also highly prone to selective jamming. A possible way to make HetNets more resilient is cross-technology communication (CTC). CTC is an intriguing new paradigm that allows direct over-the-air communication and data exchange between seemingly incompatible wireless technologies without requiring any changes to the wireless protocols, e.g., between WiFi and ZigBee, WiFi and LoRa, ZigBee and Bluetooth, or LTE-U/LAA and WiFi. The ambition of the ResCTC project is to leverage CTC for resilient networks and critical security applications in HetNets operating in unlicensed shared radio spectrum. Based on recent prior work by both partners on CTC and wireless security, ResCTC shall address network resilience through CTC in a common joint effort and devise comprehensive solutions that are routed both in fundamental theory (information theory and signal processing) as well as practical software implementations and proof-of-concept demonstration.