Efficient Spectrum Management Techniques for Cognitive Radio Networks for Proximity Service
S. Nandakumar,T. Velmurugan,Utthara Thiagarajan,Marimuthu Karuppiah,Mohammad Mehedi Hassan,Abdulhameed Alelaiwi,Md. Motaharul Islam +6 more
Reads0
Chats0
TLDR
The concept of multiple attributes for decision making was implemented, under which, the simple additive weights method and the technique for order preference by similarity to ideal solution method were compared based on a performance involving the triple play of services.Abstract:
Cognitive radio networks improve spectrum efficiency by employing vigilant and accurate spectrum management techniques. This is done to enable an unlicensed user to use the underutilized spectrum. Spectrum sensing determines if a spectrum hole exists for the unlicensed user, this is accomplished using various techniques such as energy detection, minimum Eigen value detection, and matched filter technique. Conventional energy detection techniques do not achieve high values of detection; hence an improved adaptive energy detection technique has been proposed to improve the efficiency. The proposed methodology exhibits better numerical results than conventional techniques. Another important spectrum management procedure is spectrum handoff. The concept of multiple attributes for decision making was implemented, under which, the simple additive weights method and the technique for order preference by similarity to ideal solution method were compared based on a performance involving the triple play of services.read more
Citations
More filters
Journal ArticleDOI
Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks
TL;DR: The results indicate that the accuracy of the target model reduce significantly by adversarial attacks, when the perturbation factor is 0.001, and iterative methods show greater attack performances than that of one-step method.
Journal ArticleDOI
Fuzzy genetic based dynamic spectrum allocation approach for cognitive radio sensor networks
TL;DR: A fuzzy genetic based dynamic spectrum allocation (FGDSA) system for deciding spectrum allocation in cognitive radio sensor networks is introduced and it was observed that the hybrid system of FGDSA outperforms fuzzy system by 2% in channel utilization, by also ensuring 16% less SINR, and 41% less channel access delay.
Proceedings ArticleDOI
Optimal Network Selection in Cognitive Radio Network Using Simple Additive Weighting Method with Multiple Parameters
Reshmi Krishna Prasad,T. Jaya +1 more
TL;DR: The simulation shows that SAW method is powerful for choosing the ideal network for spectrum handoff as per triple play benefits in CR systems.
Journal ArticleDOI
Multi-Step-Ahead Spectrum Prediction for Cognitive Radio in Fading Scenarios
TL;DR: The results show channel-switching savings can be achieved in a CR network with the proposed approach, and an increase in throughput was observed for multi-step-ahead prediction with three future states.
Proceedings ArticleDOI
Evolution of the Security Models in Cognitive Radio Networks: Challenges and Open Issues
Y Sudha,V Sarasvathi +1 more
TL;DR: In this article, the authors provide a technical insight in gauging the level of effectiveness in the existing security aspect and facilitate the upcoming researchers with information about the current research gap and possible solutions to leverage the security.
References
More filters
Journal ArticleDOI
A survey of spectrum sensing algorithms for cognitive radio applications
T. Yucek,Huseyin Arslan +1 more
TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.
Journal ArticleDOI
A survey on spectrum management in cognitive radio networks
TL;DR: Recent developments and open research issues in spectrum management in CR networks are presented and four main challenges of spectrum management are discussed: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility.
Journal ArticleDOI
Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs
Amir Ghasemi,Elvino S. Sousa +1 more
TL;DR: An overview of the regulatory requirements and major challenges associated with the practical implementation of spectrum sensing functionality in cognitive radio systems is provided and different design trade-offs that have to be made in order to enhance various aspects of the system's performance are outlined.
Proceedings ArticleDOI
Opportunistic Spectrum Access in Cognitive Radio Networks
Senhua Huang,Xin Liu,Zhi Ding +2 more
TL;DR: This work provides closed form analysis on secondary user performance, presents a tight capacity upper bound, and reveals the impact of various design options, such as sensing, packet length distribution, back-off time, packet overhead, and grouping.
Journal ArticleDOI
Dynamic spectrum access: from cognitive radio to network radio
TL;DR: The future cognitive radio with the expanded capabilities a network radio is called, and its architecture as well as the design issues for future DSA are discussed, which should consider the political, social, economic, and technological factors all together to pave the way for the commercial success of DSA.