scholarly journals Analysis and Performance Evaluation of Selective Channel Assignment Method in Cognitive Radio System

2020 ◽  
Vol 13 (13) ◽  
pp. 185-193
Author(s):  
Mallikarjuna Gowda C. P
Keyword(s):  
Performance Evaluation ◽  
Cognitive Radio ◽  
Channel Assignment ◽  
Radio System ◽  
Cognitive Radio System ◽  
Assignment Method ◽  
Selective Channel ◽  
And Performance

scholarly journals Selective Channel Assignment Method in Cognitive Radio System

2021 ◽  
Author(s):  
C P Mallikarjuna Gowda ◽  
T Vijayakumar
Keyword(s):  
Cognitive Radio ◽  
Channel Assignment ◽  
Blocking Probability ◽  
Performance Parameters ◽  
Radio System ◽  
Cognitive Radio System ◽  
Assignment Method ◽  
Blocking Probabilities ◽  
Selective Channel ◽  
Assignment Scheme

Abstract An Efficient Channel assignment method for cognitive radio system has been proposed in this paper, by considering primary and secondary calls separately in the network for the cases of with and without usage of converters. The proposed channel assignment method known as selective channel assignment method its performance is compared with the existing first fit assignment and uniformly distributed random assignment methods. Each of the models has variant for with conversion and without conversion of wavelength. The simulations are run for a network having 10, 20 channels, 12, 15 and 25 links and 8 Erlangs of load. By carrying out the simulations of the proposed and existing channel assignment methods, the blocking probabilities, throughput and channel usage frequencies are computed for each of the assignment methods. When the selective channel assignment method was used, the blocking probabilities are around 41% and 39% for 50% PU calls case and 64% and 26% for 75% PU calls case when there were no converters in the network. When converters are used, the blocking probabilities are around 30% and 36% for 50% PU calls case and 38% and 18% for 75% PU calls case. Our simulations validated the effectiveness of the proposed channel assignment scheme in terms of blocking probability, throughput and channel usage as performance parameters.

Performance Evaluation of Energy Detector in Cognitive Radio System

2015 ◽  
Vol 21 (11) ◽  
pp. 3494-3496 ◽  
Author(s):  
Nasrullah Armi ◽  
B. A. W Chaeriah ◽  
Muhammad Arhad
Keyword(s):  
Performance Evaluation ◽  
Cognitive Radio ◽  
Energy Detector ◽  
Radio System ◽  
Cognitive Radio System
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