Wireless network emulators are being increasingly used for developing and evaluating new solutions for Next Generation (NextG) wireless networks. However, the reliability of the solutions tested on emulation platforms heavily depends on the precision of the emulation process, model design, and parameter settings. To address, obviate or minimize the impact of errors of emulation models, in this work we apply the concept of Digital Twin (DT) to large-scale wireless systems. Specifically, we demonstrate the use of Colosseum, the world's largest wireless network emulator with hardware-in-the-loop, as a DT for NextG experimental wireless research at scale. As proof of concept, we leverage the Channel emulation scenario generator and Sounder Toolchain (CaST) to create the DT of a publicly-available over-the-air indoor testbed for sub-6 GHz research, namely, Arena. Then, we validate the Colosseum DT through experimental campaigns on emulated wireless environments, including scenarios concerning cellular networks and jamming of Wi-Fi nodes, on both the real and digital systems. Our experiments show that the DT is able to provide a faithful representation of the real-world setup, obtaining an average accuracy of up to 92.5% in throughput and 80% in Signal to Interference plus Noise Ratio (SINR).
翻译:摘要: 本文介绍了一个基于数字孪生思想的大型无线网络DT。该DT利用Channel emulation scenario generator and Sounder Toolchain(CaST)创建了一个公开的室内测试基地"Arena",并将其验证应用于在真实(Arena)和数字(Colosseum)环境中的无线通信和干扰状况的实验。结果表明,在吞吐量和信波干扰加噪声比(SINR)方面,该系统的平均准确度可达到92.5%和80%。通过这个DT,我们可以更好的理解无线网络的信道情况和特性,为下一代无线网络的发展提供更可靠和有效的参考。