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5G及B5G无线移动通信、智能通信关键技术
* 基于大数据、人工智能的无线通信（Big Data/Artificial Intelligence Based Wireless Communication, Smart Communication）
* 高可靠低时延高速移动通信（High-reliable, Low-latency, and High-mobility Wireless Communication, V2X and UAV, OTFS, etc.）
* 智能反射面通信（Intelligent Reflecting Surface, Reconfigurable Intelligent Surface）
* 智能信号检测与抗干扰（Intelligent Signal Detection and Anti-interference）
* 协作通信、MIMO及空间调制（Cooperative Communication, Multiple-Input Multiple-Output & Spatial Modulation）
* 高效可靠水声通信（High Efficient and Reliable Underwater Acoustic Communication, OFDM and OTFS, etc.）
* 智能数据、图像分析识别（Intelligent Data and Image Analysis and Recognition）
* 无线光通信（Optical Wireless Communication）
* 无线资源管理与优化（Resource Management and Optimization in Wireless Communication）
* 超宽带与认知无线电（Ultra Wideband & Cognitive Radio）
* 高效调制与编码（High Efficient Modulation and Coding）等
- Cross-Domain Channel Estimation Based Serial Interference Cancellation in NOMA-OTFS System. IEEE Communications Letters, 28, 1668 - 1672, 2024.
- Spectral clustering and deep reinforcement learning-based dynamic resource allocation in SM-MIMO vehicular system. IEEE Transactions on Intelligent Transportation Systems, 25, 3777, 2024.
- Performance analysis of cooperative multi-relay spatial modulation based OTFS system in V2V communication. Vehicular Communications, 44, 2024.
- Reconfigurable Intelligent Surface Enabled Joint Backscattering and Communication. IEEE Transactions on Vehicular Technology, 73, 771 - 782, 2024.
- Joint Hovering Height, Power, and Rate Optimization for Air-to-Ground UAV-RSMA Covert Communications. DRONES, 7, 2024.
- 基于卷积神经网络的DM-GSM信号检测方法
- 基于正交空间调制的正交时频空间调制系统的工作方法
- 基于卷积神经网络的无线电调频引信干扰信号识别方法
- 基于深度神经网络的SM-OFDM信号分组检测方法
- 一种云防护日志系统及其工作方法
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