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. 

scholarly journals Energy efficiency optimization-based resource allocation for underlay RF-CRN with residual energy and QoS guarantee

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Jie Tian ◽  
He Xiao ◽  
Yimao Sun ◽  
Dong Hou ◽  
Xianglu Li
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Radio Frequency ◽  
Cognitive Radio Network ◽  
Residual Energy ◽  
Radio Network ◽  
Minimum Requirement ◽  
Radio Frequency Energy

Abstract How to achieve energy-efficient transmission in radio frequency energy harvesting cognitive radio network (RF-CRN) is of great importance when nodes in CRN are self-maintained. This paper presents a radio frequency (RF) energy harvesting hardware-based underlay cognitive radio network (RH-CRN) structure, where a secondary transmitter (ST) first harvests energy from RF signals source originating from the primary network, and then communicates with a secondary receiver (SR) in underlay mode by using the harvested energy. The total consumed energy by the secondary user (SU) must be equal to or less than the total harvested energy referred to as energy causality constraint, In addition, the ST possesses some initial energy which may be the residual energy from the former transmission blocks, and we consider the energy loss of energy harvesting circuit as a systematic factor as well. Our goal is to achieve the maximum energy efficiency (EE) of the secondary network by jointly optimizing transmitting time and power. To guarantee the quality of service (QoS) of secondary transceiver, a minimum requirement of throughput constraint is imposed on the ST in the process of EE maximization. As the EE maximization is a nonlinear fractional programming problem, a quick iterative algorithm based on Dinkelbach’s method is proposed to achieve the optimal resource allocation. Simulation results show that the proposed strategy has fast convergence and can improve the system EE greatly while ensuring the QoS.

scholarly journals SECURITY CAPABILITY ANALYSIS OF COGNITIVE RADIO NETWORK WITH SECONDARY USER CAPABLE OF JAMMING AND SELF-POWERING

2020 ◽  
Vol 36 (3) ◽  
pp. 205-231
Author(s):  
Ngoc Pham Thi Dan ◽  
Khuong Ho Van ◽  
Hanh Dang Ngoc ◽  
Thiem Do Dac ◽  
Phong Nguyen Huu ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Radio Frequency ◽  
Cognitive Radio Network ◽  
Secondary User ◽  
Radio Network ◽  
Radio Frequency Energy ◽  
Capability Analysis ◽  
Primary Receiver ◽  
Selection Of ◽  
Security Capability

This paper investigates a cognitive radio network where a secondary sender assists a primarytransmitter in relaying primary information to a primary receiver and also transmits its own information toa secondary recipient. This sender is capable of jamming to protect secondary and/or primary informationagainst an eavesdropper and self-powering by harvesting radio frequency energy of primary signals.Security capability of both secondary and primary networks are analyzed in terms of secrecy outageprobability. Numerous results corroborate the proposed analysis which serves as a design guidelineto quickly assess and optimize security performance. More importantly, security capability trade-offbetween secondary and primary networks can be totally controlled with appropriate selection of systemparameters.

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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