A Study of Spectrum Sensing Algorithm for Ultra High Speed WLAN

For a higher transmission rate and a greater throughput, New Generation Ultra High Speed WLAN must introduce Cognitive Radio (CR) technology to enhance frequency spectrum utilization. To detect the channel, this paper using two spectrum sensing algorithms, energy detection and preamble detection. The former utilizes the energy in signal to detect; the latter utilizes some features of the signal in the channel to detect. This paper then tests and verifies the two algorithms, and the model uses the 8X8 MIMO-OFDM system and high order modulation, so they can be used for detecting channel in Ultra High Speed WLAN environment. From the result, this two algorithms are feasible.

[1]  Kwang-Cheng Chen,et al.  Spectrum Sensing of OFDMA Systems for Cognitive Radio Networks , 2009, IEEE Transactions on Vehicular Technology.

[2]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[3]  David G. Daut,et al.  Spectrum Sensing for OFDM Systems Employing Pilot Tones and Application to DVB-T OFDM , 2008, 2008 IEEE International Conference on Communications.

[4]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[5]  Vladimir I. Kostylev,et al.  Energy detection of a signal with random amplitude , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[6]  Danijela Cabric,et al.  Spectrum Sensing Design Framework Based on Cross-Layer Optimization of Detection Efficiency , 2009, 2009 IEEE International Conference on Communications.

[7]  Wenbo Wang,et al.  SDR implementation of cognitive radio: Sensing and disjoint spectrum access , 2009, 2009 Fourth International Conference on Communications and Networking in China.

[8]  David G. Daut,et al.  Spectrum Sensing for DMB-T Systems Using PN Frame Headers , 2008, 2008 IEEE International Conference on Communications.

[9]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[10]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..