Energy efficient tuning of network digital twins improves mmwave beam control
Energy-Driven Evaluation of Network Digital Twinning Applied to mmWave Beam Management
Networking and Internet Architecture
Summary
Managing wireless signals at very high frequencies, like 60 GHz, can be tricky because signals need to be aimed precisely. The authors studied how digital copies of indoor network environments called digital twins can help by simulating signal behavior while trading off accuracy and how often the simulations update. Using real hardware data instead of just computer simulations, they found ways to adjust simulation accuracy and update speed to save energy while keeping the system effective. They also used smart methods to find these ideal settings quickly.
What this means in practice
- •For network engineers: Adjust the update frequency and accuracy of digital twins to optimize energy use and signal targeting in indoor 60 GHz wireless networks.
- •For wireless system designers: Build beam management systems that use real hardware measurements combined with simulation to balance performance and energy consumption efficiently.
Authors
João Borges, Bruno Castro, Kleber Cardoso, Andrey Silva, Aldebaro Klautau
Abstract
Network Digital Twins (NDTs) are important enablers of 6G and future networks. However, there is a lack of studies regarding practical aspects, such as the impact of simultaneously changing twinning rate, fidelity, and other NDT operational parameters. For instance, works often consider the impact of operational parameters in isolation or with physical twin (PTwin) implementations relying on simulations. Therefore, the main contribution of this work is to provide an in-depth study on the performance impacts of both twinning rate and fidelity, using PTwins that rely on measurements obtained from hardware. We also investigate the optimization of these two operational parameters to minimize energy consumption, exploring a Bayesian Optimization (BO) method and what-if analysis. In this work, the NDT models an indoor propagation environment to optimize beam management. The virtual twin (VTwin) was implemented with the Sionna ray tracing (RT) simulator and the PTwin with our in-house setup composed of customized Wi-Fi radios with 32 antenna elements operating at 60 GHz. The study reveals important aspects of wireless channel NDTs, suggesting that fidelity levels vary throughout the experiment and with the what-if difficulty. Moreover, the twinning rate can be adjusted using sample-efficient methods, such as BO, even at lower fidelity levels.