Systems for 6G and 7G are currently under active consideration. In 6G, the utilization of millimeter-wave and terahertz bands is expected to achieve communication speeds that surpass the limitations of current 5G networks. Furthermore, the 6G era brings high expectations for ISAC (Integrated Sensing and Communication), which integrates environment sensing and data collection capabilities alongside standard communication functions. Against this backdrop, the 27th Term, 7th Open Workshop was held to focus on simulation technologies for antenna and propagation systems, as well as their related technologies, looking ahead to 6G/7G. This workshop featured three presentations addressing the technologies to realize these advancements, specifically focusing on simulation techniques from the perspective of antennas and propagation.

In the presentation by Prof. Hikage (Hokkaido University), biological simulation technologies geared toward 6G/7G were discussed. Currently, the use of electromagnetic waves in close proximity to the human body is advancing rapidly. Consequently, it is necessary to quantify the amount of electromagnetic energy absorbed when a portion of these waves enters the human body. This presentation introduced methods to quantify electromagnetic absorption across various scenarios anticipated in 6G/7G. The content was highly engaging and sparked an active Q&A session.

The presentation by Prof. Arima (Tokyo University of Agriculture and Technology) introduced electromagnetic analysis techniques tailored for 6G/7G. Electromagnetic analysis is indispensable for developing various technologies in the 6G/7G era. This presentation introduced the FDTD (Finite-Difference Time-Domain) method, which allows for the straightforward analysis of complex models. In particular, it covered simulation technologies for moving objects, such as V2V (Vehicle-to-Vehicle) communications, as well as large-scale simulation techniques required for the massive models expected in 6G/7G.

The presentation by Prof. Suto (Hokkaido University) addressed analysis methods for propagation models looking ahead to 6G/7G. This talk explained how machine learning can be used to find fast, highly accurate solutions for models that traditionally required substantial simulation time. He highlighted that accuracy can be further improved by utilizing various learning models, which was deeply interesting. The lecture also covered the application of quantum computing?one of the key phrases in Beyond 5G and 6G?to the wireless communications field, and was followed by a vibrant discussion.

In conclusion, it was highly beneficial to have a broad and productive discussion on simulation technologies for 6G/7G from the critical perspectives of antennas and propagation.