Scopes
(Include but not limited to)
Track 1: Intelligent Signal Processing and Detection Technologies
Deep learning methods for channel estimation, detection, and coding
Design of intelligent transceivers and end-to-end communication systems
Beamforming and large-scale MIMO optimization based on AI
Spectrum sensing, dynamic allocation, and interference management
Modulation recognition and signal classification techniques
Compressed sensing and sparse signal reconstruction
Reconfigurable intelligent metasurface (RIS) assisted signal processing
Statistical and adaptive signal processing theories
Integrated communication sensing (ISAC) signal processing
Physical layer security and adversarial machine learning
Multi-antenna and space-time signal processing techniques
Hardware-aware intelligent signal processing architecture
Adaptive filtering and statistical signal processing
Array signal processing and space-time adaptive processing
Compressed sensing and sparse signal reconstruction
Signal detection, parameter estimation, and spectral estimation
Speech signal processing and audio intelligent analysis
Biomedical signal processing and sensing technology
Radar signal processing and target recognition
High-spectrum and remote sensing image signal processing
Track 2: Deep Learning and Intelligent Algorithms
Deep neural network architectures and optimization (CNN, RNN, Transformer, etc.)
Generative adversarial networks (GAN) and diffusion models
Self-supervised learning, meta-learning, and transfer learning
Graph neural networks and knowledge graphs
Reinforcement learning and deep reinforcement learning
Neural symbolic reasoning and explainable AI
Federated learning, edge AI, and distributed intelligence
Lightweight model design (model pruning, quantization, knowledge distillation)
AI chips and hardware acceleration
Application of large models in signal and communication fields
Track 3: Wireless Communication and Network Technologies
5G/6G communication technologies and space-ground-integrated networks
Massive MIMO and intelligent metasurface (RIS)
Millimeter wave and terahertz communication
Cognitive radio and dynamic spectrum management
Orthogonal frequency division multiplexing (OFDM) and waveform design
Wireless channel modeling, estimation, and equalization
Internet of Things communication and low-power wide area network (LPWAN)
Cooperative communication, relaying, and network coding
Communication sensing integration (ISAC)
Quantum communication and information security technology
......
Track 1: Intelligent Signal Processing and Detection Technologies
Deep learning methods for channel estimation, detection, and coding
Design of intelligent transceivers and end-to-end communication systems
Beamforming and large-scale MIMO optimization based on AI
Spectrum sensing, dynamic allocation, and interference management
Modulation recognition and signal classification techniques
Compressed sensing and sparse signal reconstruction
Reconfigurable intelligent metasurface (RIS) assisted signal processing
Statistical and adaptive signal processing theories
Integrated communication sensing (ISAC) signal processing
Physical layer security and adversarial machine learning
Multi-antenna and space-time signal processing techniques
Hardware-aware intelligent signal processing architecture
Adaptive filtering and statistical signal processing
Array signal processing and space-time adaptive processing
Compressed sensing and sparse signal reconstruction
Signal detection, parameter estimation, and spectral estimation
Speech signal processing and audio intelligent analysis
Biomedical signal processing and sensing technology
Radar signal processing and target recognition
High-spectrum and remote sensing image signal processing
Track 2: Deep Learning and Intelligent Algorithms
Deep neural network architectures and optimization (CNN, RNN, Transformer, etc.)
Generative adversarial networks (GAN) and diffusion models
Self-supervised learning, meta-learning, and transfer learning
Graph neural networks and knowledge graphs
Reinforcement learning and deep reinforcement learning
Neural symbolic reasoning and explainable AI
Federated learning, edge AI, and distributed intelligence
Lightweight model design (model pruning, quantization, knowledge distillation)
AI chips and hardware acceleration
Application of large models in signal and communication fields
Track 3: Wireless Communication and Network Technologies
5G/6G communication technologies and space-ground-integrated networks
Massive MIMO and intelligent metasurface (RIS)
Millimeter wave and terahertz communication
Cognitive radio and dynamic spectrum management
Orthogonal frequency division multiplexing (OFDM) and waveform design
Wireless channel modeling, estimation, and equalization
Internet of Things communication and low-power wide area network (LPWAN)
Cooperative communication, relaying, and network coding
Communication sensing integration (ISAC)
Quantum communication and information security technology
......
Important Dates/重要日期
- Submission Deadline: 2026.10.2
- Registration Deadline: 2026.10.9
- Conference Date: 2026.10.17
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: eicenfs_info@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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