Power Limited Multi-band Multi-hop Secondary Communication System for Cognitive Radio Network

2007 ◽  
Author(s):  
Takeo Fujii
Keyword(s):  
Cognitive Radio ◽  
Communication System ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Secondary Communication ◽  
Multi Band

LIGHT AND SECURE COMMUNICATION ALGORITHM FOR COGNITIVE RADIO NETWORK BY USING LABYRINTHINE AUTHENTICATION FORMULA

2015 ◽  
Vol 76 (1) ◽  
Author(s):  
Fawad Salam Khan ◽  
Talha Naqash ◽  
Muhammad Ibrar Khatak ◽  
Raja Masood Larik
Keyword(s):  
Cognitive Radio ◽  
Radio Frequency ◽  
Communication System ◽  
Secure Communication ◽  
Cognitive Radio Network ◽  
Transmission Capacity ◽  
Effective Range ◽  
Radio Network ◽  
Frequency Range ◽  
Day By Day

Facilities for different sight and sound provisions in remote systems requests extra transmission capacity in the radio frequency range. Effective range administration calculations are important to accomplish massive accomplishment in remote correspondences. Usage of licensed spectrum is increasing day by day so Cognitive Radio is proposed as a solution to meet the demands. CR is a symbolization procedure that distributes the authorized range (the licensed spectrum) despite the fact that facing least obstruction to the authorized clients. In this paper, we investigate the versatile qualities of cognitive radio in secure and dependable correspondence. Anyway the inquiry is the way to make the correspondence dependable such that there happens no spying and data spillage. The conceivable results incorporate coordinating the benefits of spread range balance, utilizing encryption calculations (Encryption keys), and its possibility to switch over different recurrence groups. We concentrate on the different requisitions of CR and the various philosophies which empower a safe Communication system. 

Power Allocation for Secondary Users in Relay Assisted Multi-Band Underlay Cognitive Radio Network

2016 ◽  
Vol E99.B (3) ◽  
pp. 714-722
Author(s):  
Wenhao JIANG ◽  
Wenjiang FENG ◽  
Shaoxiang GU ◽  
Yuxiang LIU ◽  
Zhiming WANG
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Secondary Users ◽  
Underlay Cognitive Radio ◽  
Multi Band

Allocation of optimal energy in an energy-harvesting cooperative multi-band cognitive radio network

2018 ◽  
Vol 26 (2) ◽  
pp. 1033-1043 ◽  
Author(s):  
Abhijt Bhowmick ◽  
Gopal Chandra Das ◽  
Sanjay Dhar Roy ◽  
Sumit Kundu ◽  
Santi P. Maity
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Optimal Energy ◽  
Multi Band

scholarly journals Energy Consummation in cognitive radio network using Different Methods

2019 ◽  
Vol 9 (2) ◽  
pp. 5480-5487
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Wireless Communication ◽  
Communication System ◽  
Communication Systems ◽  
Cognitive Radio Network ◽  
Total Power ◽  
Future Research ◽  
Radio Network ◽  
The Future

The cognitive radio and resource allocation techniques have been proposed for efficiently utilizing the radio resources. Cognitive radio is an emerging technology intended to enhance the utilization of the radio frequency spectrum and allocate the available resources correctly. The cooperative communication system, with the same total power and bandwidth of legacy wireless communication systems, can increase the data rate of the future wireless communication system. A combination of cognitive radio with resource allocation can further improve the future wireless network performance and reduces the energy consummation. Efficient resource allocation in cognitive radio network (CRN) is essential in order to meet the challenges of future wireless networks. In this Paper, we are going to discuss the different Localization Techniques, objectives and protocols used in the literature for resource allocation in CRN. This paper also highlights the use of power control, cooperation types, network configurations, and Energy consummation used in CRN. Finally, directions for future research are outlined of proposed algorithms for energy minimization.

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