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Adaptive Spatio-Temporal White Space Sensing in Multiple Antenna

Authors:
Chang-Jun Ahn

Keywords: white space sensing; spatio-temporal diversity; cognitive radio; generalized likelihood-ratio test

Abstract:
Cognitive radio is an emerging approach to implement efficient reuse of the licensed spectrum by detecting unoccupied spectrum bands and adapting the transmission to those bands while avoiding the interference to primary users. However, rigorous requirements are put on the white space sensing that the secondary user should have the ability to detect the primary signal in very low signal to noise ratio (SNR). To achieve the requirements, in this paper, we discuss the adaptive white space sensing for cognitive radio system based on generalized likelihood-ratio test over Rayleigh fading channel in multiple antennas. The test statistics are based on softly combined spatio-temporal diversity to enhance the detection performance. Additionally, we give the expression of the asymptotic detection performance.

Pages: 16 to 19

Copyright: Copyright (c) IARIA, 2016

Publication date: March 20, 2016

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-463-3

Location: Rome, Italy

Dates: from March 20, 2016 to March 24, 2016