主題一:
B5G/6G通訊技術
o 自組織網絡
- 自組織網路可分為自我配置、自我優化、自我修復,可快速適應網路中的變動
- 隨著通訊系統複雜性的快速增長,自動組織網絡對於系統維護和降低成本至關重要
o 無人機輔助三維智能網絡組織
- 無人機具有靈活部署、強大的直視路徑鏈路以及高機動性的等特性
- 無人機作為新型空中通訊基站,為蜂窩網絡中的地面用戶提供服務
o RIS輔助無線網絡
- RIS是一種由無源元件組成的人工結構,可以很容易地佈建到環境中
- RIS可透過調整反射相位改善通道環境
- 相較傳統放大轉發之中繼站,使用RIS可提升系統的能量效率
o 相關論文
▶ K. F. Chen, M. C. Lee, C. H. Lin, W. C. Yeh and T. S. Lee, “Multi-fault and Severity Diagnosis for Self-organizing Networks using Deep Supervised Learning and Unsupervised Transfer Learning,” IEEE Trans. Wireless Commun., Print ISSN: 1536-1276, Online ISSN: 1558-2248, DOI: 10.1109/TWC.2023.3276313, published online: May 19, 2023. (
Link)
▶ K. F. Chen, C. H. Lin, M. C. Lee and T. S. Lee, “Deep Learning-Based Multi-fault Diagnosis for Self-Organizing Networks,” IEEE International Conference on Communications 2021, Montreal, Canada, June 2021. (
Link)
▶ J. H. Kim, M. C. Lee and T. S. Lee, “Generalized UAV Deployment Design for UAV-Assisted Wireless Networks,” IEEE Conference on Communications 2023, Rome, Italy, May 2023.
主題二:
先進雷達技術
o 多重輸出多重輸入雷達訊號處理
- 於硬體ZCU111上實踐偽雜訊編碼多重輸出多重輸入雷達
o 雷達物件辨識
- 改良機器學習YOLO網路於車載雷達物件辨識系統
o 雷達通訊整合/感知通訊融合技術
- 基於正交分頻多工的雷達通訊整合/感知通訊融合技術
- 基於頻率調變連續波雷達的雷達通訊整合/感知通訊融合技術
- 基於正交時頻空間的感知通訊融合技術
- 雷達通訊整合/感知通訊融合技術之接收傳送天線設計
o 雷達目標模擬系統
- 開發模擬實際電子戰場景的模擬系統
- 使用ZCU216設計雷達目標模擬的硬體加速器
o 相關論文
▶ T. Y. Huang, M. C. Lee, C. H. Yang and T. S. Lee, "YOLO-ORE: A Deep Learning-Aided Object Recognition Approach for Radar Systems," IEEE Trans. Vehicular Technology, Print ISSN: 0018-9545, Online ISSN: 1939-9359, DOI: 10.1109/TVT.2022.3232135, published online: Dec. 26, 2022. (
Link)
▶ M. X. Gu, M. C. Lee, Y. S. Liu and T. S. Lee, “Design and Analysis of Frequency Hopping-Aided FMCW-Based Integrated Radar and Communication Systems,” IEEE Trans. Communications, vol. 70, no. 12, pp. 8416-8432, Dec. 2022; DOI: 10.1109/TCOMM.2022.3220333, published online: Nov. 07, 2022. (
Link)
▶ H. W. Hsu, M. C. Lee, M. X. Gu, Y. C. Lin and T. S. Lee, “Analysis and Design for Pilot Power Allocation and Placement in OFDM Based Integrated Radar and Communication in Automobile Systems,” IEEE Trans. Vehicular Technology, vol. 71, no. 2, pp. 1519-1535, Feb. 2022; Print ISSN: 0018-9545, Online ISSN: 1939-9359, DOI: 10.1109/TVT.2021.3131225, published online: Nov. 30, 2021. (
Link)