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.

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. 

Modeling of Software Defined Radio Architecture and Cognitive Radio

2014 ◽  
pp. 127-158 ◽  
Author(s):  
Jyoti Sekhar Banerjee ◽  
Arpita Chakraborty
Keyword(s):  
Cognitive Radio ◽  
Software Defined Radio ◽  
Network Architecture ◽  
Ad Hoc ◽  
Cognitive Radio Network ◽  
Cognitive Radios ◽  
Radio Link ◽  
Radio Network ◽  
Hoc Networks ◽  
Wireless Node

Today's wireless networks are characterized by fixed spectrum assignment policy. The spectral scarcity and the inefficiency in the spectrum usage necessitate new communication paradigms to exploit the existing wireless spectrum, opportunistically. Software Defined Radio (SDR) and Cognitive Radio (CR) are the very paradigms for wireless communication, in which either a network or a wireless node reconfigures its transmission or reception parameters to communicate efficiently, avoiding interference with licensed or unlicensed users. CR adapts itself to the newer environment on the basis of its intelligent sensing and captures the best available spectrum to meet user communication requirements. When the radio link features are extended to the network layer, the cognitive radios form the cognitive radio network. This chapter is focused on software defined radio, its architecture, its limitations, evolution to cognitive radio network, architecture of the CR, and its relevance in wireless and mobile ad-hoc networks.

scholarly journals Efficient Utilization of Cooperative Spectrum Sensing (CSS) in Cognitive Radio Network (CRN) Using Non-Orthogonal Multiple Access (NOMA)

2021 ◽  
Author(s):  
BALACHANDER T ◽  
Mukesh Krishnan M B
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Multiple Access ◽  
Cognitive Radio Network ◽  
Cooperative Spectrum Sensing ◽  
Primary User ◽  
The Novel ◽  
Radio Network ◽  
Secondary Users

Abstract In the recent past, efficient cooperative spectrum sensing and usage are playing a vital role in wireless communication because of the significant progress of mobile devices. There is a recent surge and interest on Non-Orthogonal Multiple Access (NOMA) focused on communication powered by wireless mode. In modern research, more attention has been focused on efficient and accurate Non-Orthogonal Multiple Access (NOMA). NOMA wireless communication is highly adapted with Cognitive Radio Network (CRN) for improving performance. In the existing cognitive radio network, the secondary users could be able to access the idle available spectrum while primary users are engaged. In the traditional CRN, the primary user’s frequency bands are sensed as free, the secondary users could be utilized those bands of frequency resources. In this research, the novel methodology is proposed for cooperative spectrum sensing in CRN for 5G wireless communication using NOMA. The higher cooperative spectrum efficiency can be detected in the presence of channel noise. Cooperative spectrum sensing is used to improve the efficient utilization of spectrum. The spectrum bands with license authority primary user are shared by Secondary Users (SU) by simultaneously transmitting information with Primary Users (PU). The cooperative spectrum sensing provides well under the circumstances that the different channel interference to the primary user can be guaranteed to be negligible than an assured thresholding value. The Noisy Channel State Information (CSI) like AWGN and Rayleigh fading channels are considered as wireless transmission mediums for transmitting a signal using Multiple-Input-Multiple-Output (MIMO) NOMA to increase the number of users. The proposed NOMA is fascinated with significant benefits in CRN is an essential wireless communication method for upcoming 5G technology. From experimental results it has been proved that the novel methodology performance is efficient and accurate than existing methodologies by showing graphical representations and tabulated parameters.

Architecture of Cognitive Radio Networks

2013 ◽  
pp. 125-152 ◽  
Author(s):  
Jyoti Sekhar Banerjee ◽  
Arpita Chakraborty ◽  
Koushik Karmakar
Keyword(s):  
Cognitive Radio ◽  
Network Architecture ◽  
Ad Hoc ◽  
Cognitive Radio Network ◽  
Cognitive Radios ◽  
Radio Link ◽  
Radio Network ◽  
Communication Paradigm ◽  
Hoc Networks

Today’s wireless networks are characterized by fixed spectrum assignment policy. The spectral scarcity and the inefficiency in the spectrum usage necessitate a new communication paradigm to exploit the existing wireless spectrum, opportunistically. Cognitive Radio (CR) is that very paradigm for wireless communication, in which either a network or a wireless node reconfigures its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. CR adapts itself to the newer environment on the basis of its intelligent sensing and captures the best available spectrum to meet user communication requirements. When the radio link features are extended to the network layer, the cognitive radios form the cognitive radio network. This book chapter is focused on cognitive radio network, architecture of the CR, and its relevance in the wireless and mobile Ad Hoc networks.

Implementation of OpenFlow based cognitive radio network architecture: SDN&R

2015 ◽  
Vol 22 (2) ◽  
pp. 663-677 ◽  
Author(s):  
Suneth Namal ◽  
Ijaz Ahmad ◽  
Saad Saud ◽  
Markku Jokinen ◽  
Andrei Gurtov
Keyword(s):  
Cognitive Radio ◽  
Network Architecture ◽  
Cognitive Radio Network ◽  
Radio Network
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