[go: up one dir, main page]

Fawzi et al., 2020 - Google Patents

Adaptive two‐stage spectrum sensing model using energy detection and wavelet denoising for cognitive radio systems

Fawzi et al., 2020

View PDF
Document ID
3444564899607925184
Author
Fawzi A
El‐Shafai W
Abd‐Elnaby M
Zekry A
Abd El‐Samie F
Publication year
Publication venue
International Journal of Communication Systems

External Links

Snippet

This paper presents an efficient adaptive two‐stage spectrum sensing model for the cognitive radio (CR) systems. The proposed model combines two well‐known techniques: energy detection (ED) and wavelet denoising (WD). The ED technique is employed to …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
    • H04L25/08—Modifications for reducing interference; Modifications for reducing effects due to line faults; Receiver end arrangements for detecting or overcoming line faults
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/10—Means associated with receiver for limiting or suppressing noise or interference induced by transmission
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems

Similar Documents

Publication Publication Date Title
Fawzi et al. Adaptive two‐stage spectrum sensing model using energy detection and wavelet denoising for cognitive radio systems
Chen et al. Cooperative spectrum sensing with M-ary quantized data in cognitive radio networks under SSDF attacks
Charan et al. Eigenvalue based double threshold spectrum sensing under noise uncertainty for cognitive radio
Khan et al. A Genetic Algorithm‐Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users
Budati et al. Identify the user presence by GLRT and NP detection criteria in cognitive radio spectrum sensing
Khan et al. A double adaptive approach to tackle malicious users in cognitive radio networks
Teguig et al. Spectrum sensing method based on likelihood ratio goodness‐of‐fit test
Cek Covert communication using skewed α‐stable distributions
Wang et al. A spectrum sensing method based on empirical mode decomposition and K‐means clustering algorithm
Usman et al. Improving spectrum sensing for cognitive radio network using the energy detection with entropy method
Martínez et al. Reducing the effects of the noise uncertainty in energy detectors for cognitive radio networks
Zhang et al. Detection of stealthy jamming for UAV-assisted wireless communications: An HMM-based method
Lavanis et al. Performance of p‐norm detector in cognitive radio networks with cooperative spectrum sensing in presence of malicious users
Teguig et al. Analysis study and SDR implementation of GoF‐based spectrum sensing for cognitive radio
Liu et al. Comparison of reliability, delay and complexity for standalone cognitive radio spectrum sensing schemes
Al-Doseri et al. Performance analysis of cooperative spectrum sensing under guaranteed throughput constraints for cognitive radio networks
Yang et al. A Two‐Step Cooperative Energy Detection Algorithm Robust to Noise Uncertainty
Ye et al. Unilateral right‐tail Anderson‐Darling test based spectrum sensing for cognitive radio
Singh et al. Advanced multiresolution wavelet based wideband spectrum sensing technique for cognitive radio
Perumal et al. Experimental Analysis Using USRP for Novel Wavelet‐Based Spectrum Sensing for 2.2 GHZ Band Communication Using LabVIEW
Chen et al. Spectrum sensing based on nonparametric autocorrelation in wireless communication systems under alpha stable noise
Lv et al. A novel signal separation algorithm based on compressed sensing for wideband spectrum sensing in cognitive radio networks
Hu et al. A sequential compressed spectrum sensing algorithm against SSDH attack in cognitive radio networks
Shrivastava et al. Sliding window Dixon's tests for malicious users’ suppression in a cooperative spectrum sensing system
Ujjinimatad et al. Spectrum sensing in cognitive radio networks with known and unknown noise levels