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Cognitive Communications

Editorial Board
Area Editors:
  • Pinyi Ren (xi'an Jiaotong university)
  • Mikko Valkama (Tampere University of Technology)
  • Xianfu Chen (VTT Technical Research Centre of Finland)
  • Javier Del Ser (Tecnalia and University of the Basque Country UPV/EHU)
  • Marcos Katz (false)
  • Yan Zhang (Simula Research Laboratory)
  • Antti Anttonen (VTT Technical Research Centre of Finland)
  • Zhiwei Mao (Fairleigh Dickinson University)
  • Tao Han (Huazhong University of Science and Technology)
  • Xiang Chen (Tsinghua University)
  • Lijun Qian (Prairie View A&M University)
  • Zhenyu Na (School of Information Science and Technology, Dalian Maritime University)
  • Xiaolong Yang (Chongqing University of Posts and Telecommunications)+ BioXiaolong Yang, IEEE memeber,received his M.Sc degree and Ph.D. degree in communication engineering from Harbin Institute of Technology in 2012 and 2017 respectively. From 2015 to 2016, he was a visiting scholar at Nanyang Technological University, Singapore. He is currently a lecturer in Chongqing University of Posts and Telecommunications.
  • Bo Li (Harbin Institute of Technology at Weihai)
  • F Wang (NUAA)
  • Xuanheng Li (Dalian University of Technology)
  • hong jiang (South West University of Science and Technology)
  • yong wang (Chongqing University of Posts and Telecommunications)
  • weidang lu (Zhejiang University of Technology)
  • Xiangping Zhai (Nanjing University of Aeronautics and Astronautics)
  • Zheng Chang (University of Jyväskylä)
  • Xueyan Zhang (Dalian University of Technology)
  • zhengquan li (School of Iot Engineering, Jiangnan.University)
Aims & Scope

The application of intelligent technologies in communication systems could be tracked back into 1990s. The emerging of cognitive radio targeted on the revolutionary spectrum access paradigm has sparked a radical change on wireless system design, development and performance analysis.

Since then the state-of-the art of wireless communications has been significantly advanced, from substantial improvement on spectrum usage, smart adaptation and coexistence in radio and network environments, fundamental enhancement on performance and capacity, to considerable reduction of complexity in network management. After a decade of research on cognitive radio and networks, the concept of cognition has been naturally and widely extended to whole communication areas, not limited to wireless systems, but also in wired networks.

Cognitive technologies become promising tools for the communication industry to meet the challenge of coming data traffic tsunami. Solutions for energy efficient, sustainable future Internet are heavily relied on advanced cognitive technologies, new ways of thinking on network design and development, as well as new theoretic foundations. We believe cognitive communication technologies will remain an important and active area of research for next several decades.

It becomes necessary to provide a common forum to publish high quality papers, and to offer readers a single source to get inspiring ideas and important findings in this area. It is our honor to create, for the first time, dedicated transactions on cognitive technologies for communications, to fulfill this purpose.

The aims of the transactions are:

  • to provide a dedicated platform for timely publishing of high quality, peer-reviewed, original papers in fields of cognitive communications;
  • to become a highly cited source of latest findings in cognitive radio and cognitive communication networks;
  • to become a leading journal that advances the state-of-the art of communications from a well-focused direction.

The transactions provide flexible means to publish latest results in a timely manner. It accepts the submission of:

  • regular research papers, for original scientific contributions,
  • fast-track communications, for short findings,
  • topical reviews.

The scope of the transactions includes, but not limited to:

  • Information-theoretic aspects of cognitive communication systems
  • Spectrum sensing and dynamic spectrum access
  • Spectrum pricing, economics models and game-theoretical strategies
  • Interference analysis and statistical models of spectrum usage
  • Physical (PHY) layer design for cognitive radios
  • Dynamic medium access control techniques for cognitive communication systems
  • Dynamic resource allocation in cognitive communication systems
  • Co-existence of heterogeneous networks
  • Artificial intelligence and machine learning for cognitive communication systems
  • Bio-inspired communication systems
  • Cooperative techniques in cognitive communication systems
  • Cross-layer optimization for cognitive communication systems
  • Routing and network technologies for cognitive communication systems
  • Trust and security issues in cognitive communication systems
  • Energy-efficiency design in cognitive communication systems
  • Software defined radio
  • Self-organizing networks
Artificial intelligence, bio-inspired communication systems, cognitive communication system, cognitive radio, energy-efficiency, machine learning, self-organizing network, Smart grid, software defined network, software defined radio, spectrum sensing, trust and security