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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
- 杨佳馨. Dynamic Convolution and Transformer Based Dual-Branch Coding in Semantic Communication System. IEEE Communications Letters, 1161, 2025.
- 白智全. Capacity and outage analysis of SM-OTFS system with imperfect CSI in V2V communications. Vehicular Communications, 2025.
- 许浩. Joint optimization design of cross-domain NOMA-OTFS scheme in vehicular MU-MISO system. AEU - International Journal of Electronics and Communications, 2025.
- 许浩. Joint optimization design of cross-domain NOMA-OTFS scheme in vehicular MU-MISO system. AEU - International Journal of Electronics and Communications, 2025.
- 赵金秋. RIS Enabled SCLAM: An Approach for Simultaneous Radio Communication, Localization, and Mapping. IEEE Internet of Things Journal, 12, 14663, 2025.
- 基于深度神经网络的最小二乘法OTFS系统信道估计方法
- 基于改进卷积神经网络的车联网中OTFS系统信道估计方法
- 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
- 基于广义空间调制的自适应可见光通信系统的工作方法
- 基于载波索引调制的高效可见光通信系统工作方法
- 基于颜色空间的室内VLC多流空间调制系统的工作方法
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