Emerging Trends in Next-Generation mmWave Cognitive Radio Networks
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 30 December 2025 | Viewed by 65
Special Issue Editor
Interests: MAC; routing protocols for next-generation wireless networks; wireless sensor networks; cognitive radio networks; RFID systems; IoT; smart city; deep learning; digital convergence; CRN; 5G beyond and 6G; wireless networks; wireless security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Millimeter-wave (mmWave) communications and cognitive radio networks (CRNs) are at the forefront of next-generation wireless systems, offering high data rates and dynamic spectrum access. However, challenges such as rapid channel variations, mobility management, interference control, and efficient resource allocation remain critical for real-world deployment. This Special Issue aims to gather cutting-edge research on advanced techniques and innovative solutions for resource management and mobility support in mmWave CRNs. Topics of interest include, but are not limited to, spectrum sensing, beamforming, user association, handover mechanisms, AI-based optimization, and cross-layer design strategies.
We invite high-quality original research papers, review articles, and case studies addressing theoretical and practical aspects of mmWave CRNs.
Topics of interest include (but are not limited to) the following:
- Dynamic spectrum access in mmWave CRNs.
- Beamforming and directional antenna design for mobile CRNs.
- Intelligent handover and mobility management techniques.
- AI/ML-driven resource allocation and optimization.
- Spectrum sensing and prediction in high-frequency bands.
- Energy-efficient protocols for mmWave CRNs.
- Joint MAC and PHY layer optimization.
- Interference mitigation and coexistence strategies.
- Edge computing and distributed intelligence in mmWave CRNs.
- Security and privacy in cognitive mmWave communications.
- Use cases in vehicular networks, smart cities, and IoT.
Dr. Gyanendra Prasad Joshi
Guest Editor
Manuscript Submission Information
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Keywords
- millimeter-wave (mmWave)
- cognitive radio networks (CRNs)
- resource management
- mobility support
- beamforming
- spectrum sensing
- interference management
- handover optimization
- machine learning
- 5G/6G
- network slicing
- energy efficiency
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