Advanced Signal Processing Techniques for 6G Communication Networks
Scope
The proposed research aims to explore advanced signal processing techniques that can enhance the performance of 6G communication networks. 6G networks are expected to offer unprecedented data speeds, ultra-low latency, and massive connectivity, making it critical to develop efficient signal processing techniques to support these capabilities. One key aspect of the proposed research is investigating machine learning algorithms' use for resource allocation in 6G networks. This will involve designing intelligent algorithms that dynamically allocate resources to different users based on their network requirements, traffic patterns, and quality of service (QoS) constraints. Such optimization algorithms can significantly improve the overall network efficiency and user satisfaction. Another focus of this research is to develop advanced detection and decoding techniques for 6G networks. This will involve exploring new modulation schemes and error correction codes that can cope with the unique characteristics of 6G channels, such as massive multiple-input multiple-output (MIMO) and millimeter-wave (mmWave) transmissions. These techniques will enable 6G networks to achieve higher data rates and better reliability. This special issue also focused on Beamforming and beam tracking techniques for 6G networks. These techniques aim to improve signal quality and reduce interference in 6G networks, enhancing overall network performance.
Target Audience
The target audience for the special issue includes researchers, engineers, and industry professionals in wireless communication and signal processing. With the development of new technologies and the increasing demand for faster and more reliable communication, there is a growing interest in exploring the potential of 6G networks. This research aims to address the challenges and opportunities in designing and implementing advanced signal processing techniques for 6G networks. Researchers in wireless communication will benefit from this research as it will provide a deeper understanding of the latest techniques and advancements in signal processing for 6G networks. It will also offer valuable insights into these techniques' potential applications and limitations. Engineers involved in developing and deploying 6G networks will also find this research relevant and useful. They can use the findings from this research to improve the performance and efficiency of 6G networks, ultimately leading to better communication services for end-users. The industry professionals working on designing and manufacturing communication devices and equipment for 6G networks will also be interested in
this research. It can guide the development of advanced signal-processing algorithms and techniques that can be implemented in their products.
List of Topics to be covered
1. Signal Processing Methods in Communication Systems
2. Efficient Resource Allocation and Management in 6G Networks
3. Advanced modulation and coding techniques for 6G
4. Channel equalization and interference cancellation in 6G networks
5. Multi-antenna and Beamforming techniques for 6G
6. Statistical signal processing for improved spectral efficiency in 6G
7. Machine learning and artificial intelligence in 6G signal processing
8. Cognitive and cooperative techniques for efficient spectrum utilization in 6G
9. Novel signal processing algorithms for massive MIMO in 6G
10. Non-orthogonal multiple access for increased capacity in 6G
11. Millimeter-wave communications and their signal processing challenges in 6G
12. Ultra-reliable and low latency communication techniques in 6G networks
13. Advanced error control coding and decoding techniques for 6G
14. Security and privacy concerns in 6G and their impact on signal processing
15. Interference Management in 6G Networks
16. Advanced Error Correction and Forward Error Correction (FEC) Schemes
17. Cooperative and Relaying Communication Strategies for 6G
18. mmWave and Terahertz Communication Technologies
19. Integration of Satellite Communication in 6G Networks.
20. Network Slicing and QoS Provisioning in 6G
Submission Guidelines
We invite original research articles, innovative reviews, and perspectives covering the topics above. Authors are requested to follow the journal’s guidelines and formatting. All submissions will undergo a thorough peer-review process to ensure high-quality articles for publication.
Important Deadline
> Deadline for Abstract Submission: May 10, 2024
> Full Paper Submission: June 31, 2024
> Notification of Acceptance: July 15, 2025
> Publication: September 12, 2024
Guest Editors
> Jaganathan Logeshwaran, Sri Eshwar College of Engineering, Coimbatore-641202,
India (eshwaranece91@gmail.com) | Google Scholar:
https://scholar.google.com/citations?user=CcVHJoQAAAAJ&hl=en
> Satya Prakash Yadav, G.L Bajaj Institute of Technology and Management, Greater
Noida, Uttar Pradesh 201306, India (prakashyadav.satya@gmail.com) | Google Scholar:
https://scholar.google.com/citations?hl=en&user=aKRVzKMAAAAJ
> T. Kiruthiga, Vetri Vinayaha College of Engineering and Technology, Trichy, Tamil
Nadu - 621215, India (drkiruthigaece@gmail.com) | Google Scholar:
https://scholar.google.com/citations?user=v82N3bcAAAAJ&hl=en