IEEE Technical Committee on Cognitive Networks (TCCN)
The goal of Technical Committee on Cognitive Networks (TCCN) is to provide a platform for its members in particular, and the cognitive and artificial intelligence (AI) enabled networking research, development, policy making and standardization community in general, to interact and exchange technical ideas to identify major challenges and also drive solutions in the development of AI-enabled networking technologies. The technical issues addressed by the committee will include spectrum agile/dynamic spectrum access networks, related issues from PHY to application layers, security and privacy issues, policy issues (e.g., spectrum policy reform by U.S., Canada and European Union), implementation technologies (e.g., embedded AI, software radio, middleware), economic considerations and standardization activities.
Cognitive networks, especially AI-enabled radio and networks are touted to drive the next generations of digital communications. This technical area is attracting a tremendous amount of interest from academia, university, industry and government. New IEEE standardization activities, FCC’s spectrum policy reform, federally funded research programs (e.g., DARPA XG and NSF NeTS ProWiN) are some examples of major activities supporting R&D in cognitive and AI-enabled networks.
Updates (Check News for latest developments)
[05/2021] Virtual seminar on May 26 entitled “Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks” by Prof. Ekram Hossain, University of Manitoba, Canada. Registration and more details here
[04/2021] Virtual seminar on Apr. 28 entitled “Secure Code Execution on Untrusted Remote Devices” by Prof. Gene Tsudik, UCI, USA. Registration and more details here
[03/2021] Virtual seminar on Mar. 30 entitled “MetaSensing: Reconfigurable intelligent surface Assisted RF 3D Sensing using Machine Learning” by Prof. Zhu Han, University of Houston, USA. Registration and more details here
[03/2021] Latest edition of the TCCN Newsletter available. Read more
[03/2021] Virtual seminar on Mar. 26 entitled “Adversarial Machine Learning for Wireless Security in 5G and Beyond” by Dr. Yalin Sagduyu, Intelligent Automation, Inc. (IAI), USA. Registration and more details here
[01/2021] Virtual seminar on Feb. 25 entitled “A Quick Look at New Risks Facing Wireless Systems” by Prof. Wade Trappe, Rutgers University, USA. Registration and more details here
[12/2020] Virtual seminar on Jan. 29 entitled “AI and Machine Leaning in Spectrum Sharing Security” by Prof. Rose Qingyang Hu, Utah State University, USA. Registration and more details here
[11/2020] Virtual seminar on Dec. 16 entitled “Deep Convolutional Neural Networks for Device Identification” by Prof. Kaushik Chowdhury, Northeastern University, USA. Registration and more details here
[10/2020] Free virtual seminar on Nov. 18 entitled “Secure Computation with Privacy Preservation for Cyber Physical System Applications” by Prof. Zhu Han, University of Houston, USA. Registration and more details here
[10/2020] TCCN is looking for new officers for the next office term! Get the details …
[10/2020] Virtual seminar on Nov. 17 entitled “Physical Layer Security in Wireless Networks” by Prof. Vincent Poor, Princeton University, USA. Registration and more details here
[10/2020] Free fourth virtual seminar on Oct. 20 entitled “Symbiotic Radio: Achieving Mutualism Spectrum Sharing using Reconfigurable Intelligent Surfaces” by Prof. Ying-Chang Liang, University of Electronic Science and Technology of China (UESTC), China. Registration and more details here
[09/2020] Take part in the call for videos on “The Role of Cognitive and Intelligent Technologies in COVID-19 Pandemic”. Read more …
[09/2020] New SIG on AI empowered Internet of vehicles has been inducted. Read more
[08/2020] Call for nominations for the TCCN Recognition Award and Publication Award 2020. Apply now!
[08/2020] Free third virtual seminar on Sep. 3 entitled “Where No Cognitive Radio Has Gone Before: Machine Learning” by Dr. Alexander Wyglinski, Worcester Polytechnic Institute, USA. Registration and more details here
[08/2020] Free second virtual seminar on Aug. 18 entitled “From Cognition to Intelligence in Communications Networks” by Prof. Octavia Dobre, Memorial University. Registration and more details here
[07/2020] Free Virtual Seminar on July 18 entitled “Deep Learning in Wireless Communications” by Professor Geoffrey Ye Li, Georgia Tech. Registration and more details here
[06/2020] TCCN newsletter launched. Read more
[12/2019] Policies and Procedures have been revised. Download
[12/2019] TCCN newsletter launched. Read more
[08/2019] Call for nominations for the TCCN Recognition Award and Publication Award 2019. Apply now!
[05/2019] TCCN newsletter launched. Read more
[05/2019] TCCN is meeting in Shanghai! Find the meeting information here
[01/2019] New TCCN Officers elected and started their term. Congratulations! Find the new officers here
[12/2018] TCCN is meeting in Abu Dhabi! Find the detail here.
[12/2018] TCCN newsletter launched. Read more.
[06/2018] Call for nominations for the TCCN Recognition Award and Publication Award 2018. Apply now!
[05/2018] New edition of the TCCN Newsletter launched. Read more.
[11/2017] New edition of the TCCN Newsletter launched. Read more.
[11/2017] New SIG on Cognitive Communications and Networking in Cyber-Physical Systems formed.
[08/2017] New SIG on Social Behaviour Driven Cognitive Radio Networks formed.
[07/2017] Call for nominations for the TCCN Recognition Award and Publication Award. Apply now!
[04/2017] New SIG on Data-Driven Cognitive Networks formed.
[03/2017] Sec-IG update: New blog posted on Secure Cognitive Radio Networks with Multi-Phase Smart Relaying and Cooperative Jamming
[02/2017] Call for papers: Cognitive Radio and Networks Symposium at IEEE GLOBECOM 2017. Also check our CFP page!
[02/2017] Sec-IG update: New blog posted on Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks
[01/2017] Sec-IG update: New blog posted on Performance Analysis of Cognitive Radio Systems with Imperfect Channel Knowledge