A Tiny Twin for Blockage Map in Millimeter-Wave Digital Twin Network

The concept of digital twin (DT) has recently gained momentum in the context of wireless networks. In this paper, we propose a tiny blockage twin (TBT) for generating blockage map/data for a millimeter wireless network environment using geometric information of the buildings and streets. The generated data will enable the DT to understand coverage map of particular area/location on real-time basis and therefore will serve the service provider with important information such as blocked location, base station (BS) selection etc., to enhance users' quality of service (QoS). Due to severe blockage suffered by propagation in millimeter-wave (mmWave) range, modeling and estimation of mmWave blockage remain at the heart of the challenges, especially in the case of DT, where the DT has to make realtime rather proactive decisions. The proposed framework finds blocked/unblocked location by considering buildings dimensions, locations, as well as their orientation with respect to BS. Also, the modularized framework by its inherent expansion capability is efficient in dealing with changes in infrastructure and obtaining the resultant blockage data. To evaluate the accuracy of the data, we compare with blockage data obtained using NVIDIA Sionna simulator. The results indicate that the proposed model generates blockage data with higher accuracy in less time and with minimum requirement of resources, thus making it a lightweight twin.