a pattern construction scheme for neural network-based cognitive communication一个模式为神经网络认知通信建设方案.pdfVIP

a pattern construction scheme for neural network-based cognitive communication一个模式为神经网络认知通信建设方案.pdf

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Entropy 2011, 13, 64-81; doi:10.3390/ OPEN ACCESS entropy ISSN 1099-4300 /journal/entropy Article A Pattern Construction Scheme for Neural Network-Based Cognitive Communication Berk Ustundag * and Ozgur Orcay Faculty of Electricity and Electronics, Istanbul Technical University (iTü), 34469 Istanbul, Turkey; E-Mail: oorcay@ * Author to whom correspondence should be addressed; E-Mail: bustundag@.tr; Tel.: +90-212-285-6900; Fax: +90-216-346-6187. Received: 1 December 2010; in revised form: 21 December 2010 / Accepted: 22 December 2010 / Published: 7 January 2011 Abstract: Inefficient utilization of the frequency spectrum due to conventional regulatory limitations and physical performance limiting factors, mainly the Signal to Noise Ratio (SNR), are prominent restrictions in digital wireless communication. Pattern Based Communication System (PBCS) is an adaptive and perceptual communication method based on a Cognitive Radio (CR) approach. It intends an SNR oriented cognition mechanism in the physical layer for improvement of Link Spectral Efficiency (LSE). The key to this system is construction of optimal communication signals, which consist of encoded data in different pattern forms (waveforms) depending on spectral availabilities. The signals distorted in the communication medium are recovered according to the pre-trained pattern glossary by the perceptual receiver. In this stu

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