cognitive radio systems 2021
The impact of servers reliability on the characteristics of cognitive radio systems
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The current paper presents a finite-source retrial queuing system that models a Cognitive Radio Network (CRN) dealing with two types of requests (primary and secondary) attached to two interconnected, non-independent frequency bands. An orbit and a First In First Out
Machine learning-based malicious user detection in energy harvested cognitive radiointernet of things
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The Internet of things (IoT) is a network of interconnected objects that are connected and controls autonomous machines in the world. The cognitive radio based Internet of things (CR-IoT) concept is a revolutionary technology for the future of IoT that mitigates the
An energy efficient cooperative spectrum sensing for cognitive radiointernet of things with interference constraints
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Spectrum sensing plays a very important role in Cognitive Radio based Internet of Things (CR-IoT) networks for utilization of the licensed spectrum accurately. However, the performance of the conventional Energy Detector (ED) method is compromised in a noise
Optimisation of virtual cooperative spectrum sensing for UAV‐based interweave cognitive radio system
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In an interweave cognitive radio system, cooperative spectrum sensing has been recognised as a key technology to enable secondary users to opportunistically access licensed spectrum band without harmful interference to primary users. At the same time, the
A survey on security issues in cognitive radio based cooperative sensing
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Cognitive Radio (CR) based cooperative spectrum sensing (CSS) is severely affected when some secondary users (SUs) maliciously attack it. Two attacks regarded as key adversaries to the success of CSS are Spectrum Sensing Data Falsification (SSDF) and Primary User
Hardware Implementation of Spectrum Sensing Applying Random Sampling in Cognitive Radio Networks.
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Cognitive Radio has presented to solve the spectrum rarity problem and to improve its utilization. It is created to accord an opportunistic access for unlicensed users to utilize the available licensed frequency band. Spectrum sensing is a critical issue and an active
Optimization of Spectrum Sensing Technique in Cognitive Radio
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Radio Resource is one of the prime resources of wireless communication and always scarce. Due to rise in number of users day by day and rapid development in wireless technology, available spectrum is not enough to meet current requirements. Cognitive Radio We are delighted to introduce the proceedings of the 15th edition of the EAI International Conference on Cognitive Radio Oriented Wireless Networks CROWNCOM 2020. Despite the ongoing emergency caused by the COVID-19 pandemic, which led to the decision to
Congestion Control Scheme for Cognitive Radio Networks using MAQ
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Abstract Cognitive Radio is intelligent Radio and network technology that can recognize open channels in a network spectrum and modify transmission parameters to enable maximum transmissions to occur simultaneously and thus improve the radio operation. This
An Enhanced Spectrum Allocation Algorithm for Secondary Users in Cognitive Radio Networks
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Wireless communication is a vast field in order to do researches on transmitter sections, wireless mediums, receiver sections, repeaters as well as different antennas. The spectrum used for wireless communication is limited and the number of users is increasing day by
Improved Channel Allocation Scheme for Cognitive Radio Networks
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In recent years, wireless channel optimization technologies witnessed tremendous improvements. In this regard, research for developing wireless spectrum for accommodating a wider range of wireless devices increased. This also helped in resolving spectrum scarcity
Development of mathematical model for multi-user coded-cooperation based cognitive radio system and its outage probability analysis
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In this paper, single and multi-user codedcooperation based cognitive radio system is developed by designing its mathematical model where both source and relay will communicate to a single destination with the help of each other. Then all possible multi-user
Cognitive Radio Jamming Attack Detection Using an Autoencoder for CRIoT Network
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IoT network-connected devices will be kept on increasing and will cross million, but it is impossible to allocate spectrum for those million and million of the devices. This spectrum scarcity can be handled by incorporating cognitive radiobased dynamic spectrum sharing
A Cognitive Radio Spectrum Sensing Implementation based on Deep Learning and Real Signals
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In a cognitive radio environment, spectrum sensing is an essential phase for improving spectrum resources management. Based on a deep learning method and real signals, a new spectrum sensing implementation is proposed in this work. The real signals are
An Energetic Cognitive Radio Network Communication Principles with Attack Identification Strategies using Game Theory
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In a wireless communication industry Cognitive Radio Network is the most important concern to deal with long range communications in e cient manner with futuristic remote sensing and channel allocation policies. This kind of communication principles need to
Methods of Signal Detection and Recognition in Cognitive Radio Networks
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The paper employs techniques of signal detection and recognition to perform spectrum sensing in cognitive radio networks. The main focus is on extensive use of signal recognition techniques, which is not the case yet in the context of cognitive radio networks. In particularIn this paper, spectrum sensing techniques with dynamic primary user (PU) are considered in the environment of Laplacian noise. It means the PU not be present or absent during the whole sensing time. However, PU arrives or departs randomly in the sensing time
Implementation of Eigenvalue Based Cooperative Spectrum Sensing in Cognitive Radio
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Wireless communication services have been growing in recent years because of easy implementation and evidence of connectivity in remote areas. With this evolution, high- quality connectivity to the wireless frequency spectrum has led to largespectrum use
A novel double threshold-based spectrum sensing technique at low SNR under noise uncertainty for Cognitive Radio Systems
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Cognitive Radio is a novel concept that has invoked a paradigm shift in wireless communication and promises to solve the problem of spectrum underutilization. Spectrum sensing plays a pivotal role in a cognitive radio system by detecting the vacant spectrum for
Suboptimal Approach to Distributed Detection in Cognitive Radio Networks
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In this paper a dynamic spectrum access (DSA) concept is explored for mitigating the paucity of spectral bandwidth in cognitive radio (CR) for opportunistic, dynamic access of the spectrum without any interference. Dynamic spectrum access schemes are proposed for a
Cognitive Radio Networks based Internet of Things: A Survey on Spectrum Sharing or Spectrum Allocation Schemes
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The Internet of Things is a promising subject of technical, social, and economic implication. The first aspect of Internet of Things is different objects are being combined with internet connectivity with powerful data analytic capabilities. Internet of Things paradigm pretense
A Review of Smart Spectrum Sensing Techniques in Cognitive Radio
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Spectrum could be a resource of communication path and its main entity of wireless communication. At the moment maintain the spectrum secrecy could be a massive drawback attributable to exponential growth of users and devices of wireless communication
Sensing in Cognitive Radio NetworksAn Optimal Bit Allocation Scheme Based on Genetic Algorithm for Cooperative Spectrum Sensing in Cognitive Radio
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In cooperative spectrum sensing (CSS), there are two ways for the secondary users (SU) to deliver their sensing data or local decisions to the information fusion center (FC): hard- decision (HD) and soft-decision (SD). In HD or SD, the number of bits transmitted by the SUs
Hybrid Spectrum Sensing Techniques in 5G Cognitive Radio Networks in Soft Computing: A
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Abstract This paper describes an updated and efficient method for Hybrid spectrum sensing in cognitive radio (CR) system utilizing soft computing paradigms. The suggested soft computing approach utilizes an artificial neural network and for learning and decision making as a solution
A Review of Cross-layer design in Cognitive Radio Networks
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The last two decades has witnessed a rapid increase in the wireless applications and services which led to the extreme usage of radio spectrum and is now limitedly available. The cognitive radio a revolutionary technology was introduced which allowed unlicensed
Cross-Layer in Cognitive Radio Networks: Issues and Possible Solutions
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Cognitive Radio is a new evolving wireless access technology that emphasizes on effective spectrum utilization. It aids in resolving numerous problems that have arisen as a result of rising data demand and radio spectrum scarcity. Cognitive radio networks (CRN) have the
A Study of Ultrawideband (UWB) Antenna Design for Cognitive Radio Applications
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Cognitive radio is rapidly shaping the future of wireless communications. Research on antenna design is very critical for the implementation of cognitive radio . A special antenna is required in cognitive radio for sensing and communicating. For the purpose of spectrum
Design of an Efficient Cooperative Spectrum for Intra-Hospital Cognitive Radio Network
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This paper presents a new low delay centralized cooperative spectrum sensing method based on dynamic voting rule using multiple threshold level, for indoor hospital environment, where fading and direct path loss both are together responsible for variation in signal
Design an Optimum Energy Harvesting Model for Bidirectional Cognitive Radio Networks
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The energy efficiency and spectrum shortage problem of wireless devices has become a concern for researchers worldwide as the number of wireless devices increases at an unparalleled speed. Many new solutions have been proposed to extend mobile devicesIn this paper, we consider how to quickly search for a free channel with large channel gain in a multi-channel cognitive radio (CR) system. In the problem considered, the CR pair sequentially inspect unoccupied channels. When the CR pair inspect a particular channel
Optimal Voting Rule and Minimization of Total Error Rate in Cooperative Spectrum Sensing for Cognitive Radio Networks
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In cognitive radio technology, spectrum sensing is essential for detecting spectrum holes which be allotted to secondary users. In this paper, an optimal voting rule is used for cooperative spectrum sensing while minimizing the total error rate (TER). The proposed
Hybrid Firefly Optimization with Double Q-learning for Energy Enhancement in Cognitive Radio Networks
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The key feature of IoT is connecting various objects together through the internet. IoT is a wide network which interconnects various devices and sensors and helps to carry out wireless communication in cost effective way. Connecting several objects of heterogeneous
CASE STUDIES OF ENERGY-BASED RADIO FREQUENCY SPECTRUM SENSING TECHNIQUE FOR COGNITIVE RADIO NETWORKS
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The trend to overcome wireless interference emerged in techniques like frequency agility, hopping, dual band technologies etc. However, these techniques suppress inter-operability of wireless technologies operating at the same frequency like Wi-Fi, ZigBee, Bluetooth, Z
PERFORMANCE ANALYSIS AND OPTIMIZATION OF BIDIRECTIONAL OVERLAY COGNITIVE RADIO NETWORKS WITH DUAL POWER CONNECTIVITY
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Energy effective and secure remote inter and intra communication changes have as of late procured colossal interests because of financial, natural and military concerns. This venture explores the compromise between the mystery throughput and the energy productivity in
REINFORCEMENT LEARNING APPROACH TO REDUCE LATENCY FOR SPECTRUM SENSING IN COGNITIVE RADIO WIRELESS NETWORKS
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The detection of available wireless channels will allow CR radio transceivers, discovering which communication channels are in use and which are not. The main goal of Cognitive Radio devices is to move into vacant channels while avoiding occupied ones. It passes the
Identifying malicious secondary user presence within Primary User Range in Cognitive Radio Networks
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Cognitive Radio (CR) is a widely used wireless radio communication to utilize the available spectrum space of licensed users (Primary Users) efficiently. The primary Users (PU) unused spectrum space for a particular period is allocated to the Secondary Users (SU). The
A SURVEY ON OPTIMIZATION OF TRANSMIT POWER IN COGNITIVE RADIO NETWORKS THROUGH NATURE INSPIRED COMPUTATIONAL
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Cognitive radio (CR) is a field which is gaining a lot of interest of researchers in around the whole world. It is also termed as nextgen technology as it aims to solve the problem of unutilized electromagnetic spectrum assigned to licensed users. With increasing wireless
An Energy-Efficient Spectrum Sensing in Cognitive Radio Network Using Fractional Optimization Model
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In wireless communication, the main challenge is to use the radio spectrum efficiently. The spectrum used for wireless radio technology is a natural resource that is limited and expensive. The tremendous growth of the market for wireless communication has led toThis paper investigates the problem of video transmission over cognitive radio networks with the objective of maintaining continuous video playback while gracefully degrading the quality of the reconstructed video sequences, if needed. We focus on modeling the channel
Performance Analysis of Threshold Selection in Energy Detector Working Over Noise Uncertainty Cahnnel for Cognitive Radio Networks
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In this paper, noise uncertainty and its effect on energy detector performance were studied in more depth. Further, we are motivated to decide the optimal threshold atlow SNR (signal-to- noise ratio) in such a way where we can jointly achieve both sensing matrices (PFA= 0.1