教員プロフィール：ゲオ チャ 助教
教員プロフィール
◎研究キーワード
Radio propogation Communication system Interference coordination Deep learning technology Massive MIMO
◎研究内容
In current communication system simulations, propagation channels are often modeled using empirical formulas. My goal is to enhance this approach by integrating computational electromagnetics and practical antenna analysis into the simulation process. By considering factors like multipath propagation, signal fading, antenna radiation characteristics, and the impact of different environmental conditions on signal transmission, I aim to establish more comprehensive and realistic channel models. These models will better reflect the complexity and diversity of real-world communication environments. This integrated approach will offer a deeper understanding of communication system performance in practical scenarios and provide more reliable guidance for system design, deployment, and optimization. By bridging the gap between theoretical models and real-world conditions, we can improve the accuracy and effectiveness of communication system simulations, ultimately advancing the development of more robust and efficient communication technologies.
◎産学連携の可能性
◎代表的研究成果
C. Ge, S. Xia, Q. Chen and F. Adachi, "2-Layer Interference Coordination Framework Based on Graph Coloring Algorithm for a Cellular System With Distributed MU-MIMO," in IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 3557-3568, March 2023, doi: 10.1109/TVT.2022.3219411.
C. Ge, S. Xia, Q. Chen and F. Adachi, "Learning Based on Graph: A Joint Interference Coordination for Cluster-Wise Distributed MU-MIMO," in IEEE Communications Letters, vol. 27, no. 3, pp. 871-875, March 2023, doi: 10.1109/LCOMM.2023.3239605.
更新日：2024/05/07
データ更新はこちら から
