scholarly journals Comparison of Bit Error Rate Performance between BPSK and 16QAM modulation scheme in cognitive radio network

2014 ◽  
Vol 9 (5) ◽  
pp. 50-54
Author(s):  
Yasir Abdelfatah Merghani Ahmed ◽  
◽  
Dr. Khalid Hamid Bilal
Keyword(s):  
Cognitive Radio ◽  
Bit Error Rate ◽  
Error Rate ◽  
Cognitive Radio Network ◽  
Modulation Scheme ◽  
Rate Performance ◽  
Radio Network

scholarly journals Bit Error Rate Analysis of Cognitive Radio Network in the Presence of Primary Interference

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1839-1843
Keyword(s):  
Cognitive Radio ◽  
Bit Error Rate ◽  
Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Cognitive Radio Network ◽  
Primary User ◽  
Radio Network ◽  
Amplify And Forward ◽  
Rate Analysis ◽  
Primary Interference

In this paper, Bit Error Rate (BER) of Orthogonal Frequency Division Multiplexing (OFDM) based cognitive radio network is analyzed in the presence of Primary User Interference (PUI). Since, the PUI signal affects only few subcarriers of the OFDM signal, it can be modeled as a sparsity vector. In this network model, half duplex Amplify and Forward (AF) relaying is considered in the absence of direct link. Further, it is assumed that the network is operating in the overlay mode, thus the primary user transmitted signal act as interference at secondary user relay and destination nodes. In this paper, the PUI is mitigated using convex optimization. Bit Error Rate (BER) is analyzed using Quadrature Phase Shift Keying (QPSK) Modulation and Quadrature Amplitude Modulation (16-QAM). Simulation results conclude that after primary interference suppression, the performance of the proposed system is significantly improved.

scholarly journals Energy optimization by green sensing methodology for channel design in a cognitive radio network

2021 ◽  
Vol 19 (2) ◽  
pp. 153-162
Author(s):  
T. Perarasi ◽  
M. Leeban Moses ◽  
C. Raju
Keyword(s):  
Cognitive Radio ◽  
Hypothesis Testing ◽  
Spectrum Sensing ◽  
Error Rate ◽  
Cognitive Radio Network ◽  
Energy Optimization ◽  
Absolute Error ◽  
Radio Network ◽  
Voting Rule ◽  
The Absolute

An inventive innovation for access of underutilized spectrum and unused range is cognitive radio (CR). Spectrum sensing is the capacity of a gadget to effectively detect the environment and to extricate data from utilizing its radio. A CR framework utilizing hypothesis testing channel banks and the enhancement of the range detecting limit for the predefined requirements on probabilities of missed discovery and of the false alert are proposed to optimize the energy in the system. The limit is additionally upgraded to limit the range detecting mistake subject to the predetermined limitations. The regions of convergence for different estimations of clients are found, and furthermore, the absolute error rate has been broken down for different number of clients going from 1 to 10 and has supported the upgraded estimation of range detecting with least vitality misfortune. The exhibition of a helpful range detecting by different voting standard like OR, AND and M out of N voting rule are applied. From the outcomes, it is seen that the proposed conspire displays exceptionally least impedance for the essential clients. Wastage of energy is limited in the system which characterizes the term green sensing.

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