Future Wireless Communication
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 579
Special Issue Editor
Special Issue Information
Dear Colleagues,
The continuous evolution of wireless communication is driven by the increasing demand for ultra-reliable, high-capacity, and low-latency connectivity. As 5G reaches global deployment, research into 6G and beyond is accelerating, introducing paradigm shifts in spectrum management, network intelligence, and security. Key enablers such as artificial intelligence (AI)-driven optimization, terahertz (THz) and optical wireless communication, reconfigurable intelligent surfaces (RISs), and quantum-secured networks are expected to redefine wireless architectures.
This Special Issue aims to present cutting-edge research addressing fundamental challenges and transformative advancements in future wireless networks. We welcome high-quality contributions on topics including, but not limited to, the following:
- 6G and beyond—architectures, enabling technologies, and standardization;
- AI/ML-driven network optimization and autonomous management;
- THz, visible-light, and molecular communication;
- RIS-assisted wireless environments;
- Quantum communications and blockchain-based security;
- Ultra-reliable low-latency communication (URLLC) and massive connectivity;
- Energy-efficient and sustainable wireless networks.
This Special Issue will provide a platform for novel methodologies, experimental validations, and cross-disciplinary innovations shaping the future of wireless communication.
Dr. Md Akbar Hossain
Guest Editor
Manuscript Submission Information
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Keywords
- 6G networks
- AI-driven wireless communication
- terahertz (THz) communication
- reconfigurable intelligent surfaces (RISs)
- quantum communications
- ultra-reliable low-latency communication (URLLC)
- massive MIMO
- blockchain for wireless security
- green and energy-efficient networks
- edge and fog computing in wireless networks
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