AI-Native Wireless Communications and Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 125
Special Issue Editors
Interests: wireless communications
Interests: wireless signal processing
Interests: wireless communications
Special Issue Information
Dear Colleagues,
Wireless communication networks are undergoing a profound transformation driven by the rapid evolution of advanced artificial intelligence (AI) technologies. The emergence of large-scale AI models, including large language models (LLMs), large vision models (LVMs), and multimodal foundation models, is opening new opportunities for intelligent wireless systems. The integration of large-scale AI models enables advanced capabilities such as environment perception, wireless network optimization, autonomous decision-making, and cross-layer resource management, thereby reshaping the design paradigm of future wireless networks and facilitating integrated sensing and communication (ISAC).
In next-generation communication systems, including 6G, low-altitude networks, and satellite communications, AI-native architectures are expected to play a key role in enabling adaptive and intelligent networking. Large AI models provide powerful representation and reasoning capabilities that can significantly improve tasks such as channel estimation, beam prediction, signal processing, intelligent spectrum management, and network resource allocation. In addition, multimodal data sources such as images, sensing signals, and communication measurements can be jointly utilized to enhance network awareness and decision-making.
This Special Issue aims to present and disseminate the latest research advances related to AI-driven wireless communications and intelligent networking. We welcome original research and review articles that explore the integration of AI techniques, particularly large AI models, into wireless communications, sensing technologies, and intelligent network management. Contributions addressing theoretical developments, algorithm design, system implementation, and real-world applications are particularly encouraged.
Topics of interest for publication include, but are not limited to, the following:
- AI-enabled channel estimation and signal detection;
- AI-empowered physical layer communications and waveform design;
- AI-aided wireless communication and sensing;
- Large AI models for 6G, low-altitude networks, and satellite networks;
- Large AI models for wireless resource allocation and optimization;
- Vision and multimodal-aided semantic communication systems;
- Multimodal learning for sensor fusion and communications;
- Agentic AI and multi-agent reinforcement learning for autonomous wireless network management;
- Agentic reasoning for ubiquitous intelligent networking;
- Edge intelligence and distributed AI in wireless networks;
- Security, privacy, and trustworthy AI in large model-empowered communication systems.
Dr. Yunting Xu
Dr. Kai Yu
Prof. Dr. Tingting Liu
Guest Editors
Dr. Zhang Liu
Guest Editor Assistant
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- wireless communications
- artificial intelligence
- large AI models
- machine learning
- 6G networks
- integrated sensing and communications
- intelligent networking
- edge intelligence
- satellite communications
- multimodal learning
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