Welcome Message from Editor-in-Chief

Welcome Message from Editor-in-Chief

Journal

Subject and more

  • LCC Subject Category: Computer and Information Science, Telecommunications
  • Publisher's keywords: Welcome Message from Editor-in-Chief
  • Language of fulltext: english
  • Full-text formats available: PDF
  • Time From Submission to Publication: 7

AUTHORS

    Tao Chen

FULL TEXT

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ABSTRACT

It is our great honour to introduce the inaugural issue of EAI Transactions on Cognitive Communications. It has been more than one decade since the creation of the cognitive radio concept. The research and development of cognitive communications have then been sparked. Now the new era of communications is coming. The year of 2014 will witness the beginning of the 5G era. It is the year where cognitive communications meet real applications. We hope our new released Transactions will contribute to this new development. The first issue of the Transactions includes four well selected papers. All of them are related to spectrum sensing, a key enabling technique in cognitive radio. We believe spectrum sensing techniques will play an important role in future wireless network. In the first paper, Yang et al, proposed a data fusion based sensing framework to detect primary users based on single-carrier frequency division multiple access (SCFDMA). The main contribution of the paper is to encode sensing results by a novel frequency-hopping M-ary modulation scheme back to the fusion centre. The second paper studied the stability of queues in primary and secondary users under random spectrum sensing and random channel access of secondary users. Shafie showed in this paper, by optimizing sensing and channel access time, secondary users can enhance the throughput while guaranteeing the quality of service (QoS) of primary users. The third paper by Shan et al. looked into the multiple channel wireless microphone user emulation attack problem in the TV white space. They proposed the crosscorrelation based detection solution based on low complexity FM demodulator to detect emulated signals at low signal to noise ratio (SNR) region. The proposed solution was verified by the hardware prototype.

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