Call for Papers Intelligent Communication Networks and Digital Signal Systems (ICNDSS)

2026-01-28

Bridging AI and Communication Engineering for the Next Generation of Intelligent Networks

We are delighted to invite submissions to Intelligent Communication Networks and Digital Signal Systems (ICNDSS), a dedicated platform for cutting-edge research at the intersection of Artificial Intelligence and Communication Engineering.

ICNDSS focuses on pioneering developments in advanced digital signal processing, communication optimisation, and intelligent network design, with strong relevance to modern technological landscapes such as IoT, edge and cloud networks, satellite systems, and AI-enhanced communication infrastructures.

Scope and Topics
We welcome original research, reviews, and case studies including but not limited to:

 

  1. AI driven communication network optimisation and adaptive control.
  2. Intelligent signal processing methods for communication systems.
  3. Network coding, compression techniques and multiplexing strategies.
  4. Cognitive and adaptive communication architectures.
  5. Secure communication protocols, anti jamming methods and resilience systems.
  6. IoT communication frameworks including LPWAN and NB IoT.
  7. Real time multimedia transmission and quality optimisation.
  8. Edge, fog and cloud assisted communication infrastructures.

 

Why Publish with ICNDSS?

  • Focused & Impactful: A specialised venue for AI + communication engineering, offering high visibility among ICT researchers, signal processing engineers, and network optimisation experts.
  • Rigorous Peer Review: All submissions undergo a thorough and constructive review process.
  • Timely Publication: We ensure efficient editorial handling and timely publication of accepted articles.
  • Open Access: Immediate and broad visibility for your work.

Submission Guidelines
Manuscripts should be submitted online via the journal’s submission portal or to the email (editorial-icndss@arsl-pub.com). For detailed author guidelines and submission instructions, please visit https://journal.arsl-pub.com/index.php/ICNDSS/about/submissions

Join us in shaping the future of intelligent networks and digital signal systems!