Wireless Sensor Network

Wireless Sensor Network

ISSN Print: 1945-3078
ISSN Online: 1945-3086
www.scirp.org/journal/wsn
E-mail: wsn@scirp.org
"A Cognitive Radio Receiver Supporting Wide-Band Sensing"
written by Volker BLASCHKE, Tobias RENK, Friedrich K. JONDRAL,
published by Wireless Sensor Network, Vol.1 No.3, 2009
has been cited by the following article(s):
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[2] Spectrum Management based on Genetic Algorithm for Cognitive Networks
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[3] Wavelet transform based novel edge detection algorithms for wideband spectrum sensing in CRNs
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[4] Efficiency Improvement of Multi-band Wireless Transceivers using Advanced Digital Signal Processing Algorithms
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[5] Wideband Spectrum Sensing by Model Order Selection
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[6] Homogeneous Test-bed for Cognitive Radio
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[7] Spectrum sensing and SNR walls when primary user has multiple power levels
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[8] Wide band LC VCO with automatic amplitude controller for IEEE 802.22 cognitive radio receiver
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[9] Wideband spectrum sensing for cognitive radio: A model order selection approach
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[10] Adaptive noise tracking for Cognitive Radios under more realistic operation conditions
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[11] Mitigation of Spectral Leakage for Single Carrier, Block-Processing Cognitive Radio Receivers
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[12] Design of a Data Collection and Transmission System Based on AD9284
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[13] Advances in spectrum sensing and cross-layer design for cognitive radio networks
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[14] Opportunistic channel selection based on time series prediction in cognitive radio networks
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[15] Characterizing spurious responses in radio receivers
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[16] Optimization of QoS Parameters in Cognitive Radio Using Combination of Two Crossover Methods in Genetic Algorithm
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[17] Adaptive Noise Tracking for Cognitive Radios under Real Operation Conditions
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[18] RF system level design for a Spectrum Sensing Receiver
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[19] An investigation on the use of SNR distributions for the optimisation of coarse-fine spectrum sensing for cognitive radio
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[20] Radio white space sensing
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[21] Multichannel Cognitive Medium Access Control Protocol for Vehicular Ad-hoc Networks
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[22] Single chip spectrum sensing module in CMOS with digital frequency synthesizer and digital output
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[23] Improved Wideband Spectrum Sensing Methods for Cognitive Radio
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[24] Sub-sampling technique for spectrum sensing in cognitive radio systems
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[25] Reducing the analog and digital bandwidth requirements of RF receivers for measuring periodic sparse waveforms
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[26] Optimization of QoS parameters in cognitive radio using adaptive genetic algorithm
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[27] 宽带数字接收机中的超高速实时信号处理
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[28] Spectrum management for cognitive radio based on genetics algorithm
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[29] Optimization of bandpass charge sampling filters in hybrid filter banks converters for cognitive radio applications
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[30] SNR wall for energy detection with noise power estimation
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[31] Spatial spectrum sensing for wireless handheld terminals: design challenges and novel solutions based on tunable parasitic antennas [Dynamic Spectrum Management]
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[32] Spatial spectrum sensing for cognitive radios via miniaturized parasitic antenna systems
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[33] Flexible and Spectrum-Aware Radio Access through Measurements and Modelling in Cognitive Radio Systems
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[34] Channels reallocation in Cognitive Radio Networks based on DNA sequence alignment
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[35] Cognitive radio networks (CRN): resource allocation techniques based on DNA-inspired computing
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[36] Cognitive radio ad hoc networks (CRAHNs): Cognitive radio ad hoc networks (CRAHNs): Resource allocation techniques based on Bio-inspired computing
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[37] Ultra-low power wideband frequency synthesis techniques
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[38] Spatial spectrum sensing for wireless handheld terminals: design challenges and novel solutions based on tunable parasitic antennas [Dynamic Spectrum …
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[39] System Level Design for a Cognitive Radio Receiver “Application for IEEE802. 22 Standard”
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[40] Investigating the White Space: Engineering Policy and Innovation
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[41] Adaptive energy detection for cognitive radio: An experimental study
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[42] Methodology of a system level design for a Cognitive Radio receiver “application for IEEE 802.22 Standard”
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