SDR Based Energy Detection Spectrum Sensing in Cognitive Radio for Real Time Video Transmission

Cognitive radio is a budding approach which helps to address the imminent spectrum crisis by dynamic spectrum allocation and support the increased data traffic with an intelligent mechanism of Software Defined Radio (SDR). SDR avoid the frequent modifications in the hardware structure with the use of software defined protocols. The main novelty of the paper is an effective implementation of CR using energy based spectrum sensing method which is done on GNU radio for real time transmission of video as a primary user. From evaluation results, one can see that the proposed system can indicate the frequency band occupancy by setting the detection output. Detection output changes to one with start of video transmission. Motivation behind this work is design of a spectrum sensing method which is best suited for detection of white spaces during the transmission of video as a primary user on SDR platform.

[1]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[2]  M. S. Arifianto,et al.  Wireless transmission using universal software radio peripheral , 2009, 2009 International Conference on Space Science and Communication.

[3]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[4]  K. J. Ray Liu,et al.  Advances in cognitive radio networks: A survey , 2011, IEEE Journal of Selected Topics in Signal Processing.

[5]  Eric Blossom,et al.  GNU radio: tools for exploring the radio frequency spectrum , 2004 .

[6]  Simon Haykin,et al.  Communication Systems , 1978 .

[7]  T. Ulversoy,et al.  Software Defined Radio: Challenges and Opportunities , 2010, IEEE Communications Surveys & Tutorials.

[8]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[9]  Anant Sahai,et al.  SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.

[10]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .

[11]  Ronan Farrell,et al.  Software-Defined Radio Demonstrators: An Example and Future Trends , 2009, Int. J. Digit. Multim. Broadcast..

[12]  I. Balasingham,et al.  Achieving fair spectrum allocation and reduced spectrum handoff in wireless sensor networks: modeling via biobjective optimization , 2014 .