About the Conference

The National Conference on Communications (NCC) is arguably the most important national conference today in the area of communications and signal processing. The NCC is organized by the IITs and the IISc in rotation, and is mentored by the Joint Telematics Group of the IITs and the IISc. In a span of little more than two decades, the conference has acquired substantial recognition and is now widely known in many countries overseas. More information on the history and previous editions of NCC can be found on this page. NCC 2020, the 26th edition of NCC, will be held at Indian Institute of Technology Kharagpur.

Topics of Interest

The conference invites original research contributions in the following and other related areas:

Communication

  • Communication theory and systems

  • Information theory

  • Coding theory

  • Wireless communications

  • RF and microwave communications

  • Satellite communications

  • Optical communications

  • Silicon Photonics

  • Cognitive radio

  • Energy harvesting and green communications

  • Machine learning for communications

  • 5G and beyond communication systems

  • Machine learning for communications

  • Edge communications

  • Quantum communications

Networks

  • 5G / next-generation networks

  • Wireless and wireline networks

  • Optical networks and systems

  • Sensor and ad hoc networks

  • Complex networks

  • Cyber-physical systems / IoT

  • Biological networks

  • Social networks

  • Decentralized trust networks

  • Data center and cloud networks

  • Data center and cloud networks

  • Networks and services management

  • Performance analysis

Signal Processing

  • Signal processing for communications

  • Image and video signal processing

  • Multimedia applications

  • DSP algorithms and architectures

  • Speech and audio processing

  • Biomedical applications

  • Language identification

  • Machine learning, pattern analysis, and classification

  • Cognitive radio

  • Large dimensional signal processing

  • Sparse signal processing

  • Graph signal processing

  • Applications in astronomy/astrophysics