COGNITIVE RADIO SYSTEMS IEEE PAPER 2022
Cognitive radio system (CRS) is a radio system which is aware of its operational and geographical environment, established policies, and its internal state. It is able to dynamically and autonomously adapt its operational parameters and protocols and to learn from its previous experience. cognitive radio network (CRN) is split into two main networks, a primary network and a secondary network. The primary network owns the licensed band and consists of the primary radio base station and users. The secondary network shares the unused spectrum with the primary network.
Efficient High Out of Band Reduction for Cognitive Radio Systems
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Orthogonal frequency division multiplexing (OFDM) a multicarrier method is a best candidate for the physics layer of cognitive radio (CR) system because of its ability to fill the spectral
A Review of Cognitive Radio (CR) Technology Application, Prospect and Challenges
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Cognitive radio technique is the next step toward efficient of a Cognitive Radio We postulate that cognitive radio offers that occur, and to adjust the radio dynamically to best fit these
A Full Duplex Cognitive Radio Based on Energy Harvesting
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Energy-efcient joint design of sensing and transmission durations for protection of primary user in cognitive radio systems . IEEE Communications Letters. 17(3), 565 568.Those devices supporting this technology must maintain an active connection even if they switch to another radio . Two types of users are present in a cognitive radio . The Primary
Spectrum Sensing in Cognitive Radio Network Communications: Survey and Discussions
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sensing techniques in cognitive radio network. Keywords:- Cognitive Radio Network, Primary The main goal of Cognitive Radio devices is to move into vacant channels while avoiding
Analysis of Spectrum Sensing Cognitive Radio Networks
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of a Cognitive Radio is generally like existing handsets. Regardless, the new procedure of the Cognitive Radio is In this section, we have to discuss the result analysis of cognitive radio
Spectrum Utilization by Using Cognitive Radio Technology
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As is clear from the above plan that spectrum is not used fully that s why we are making use of cognitive radio technology to make best from available , . The current fixed frequency
Novel Spectrum Handoff scheme in Cognitive Radio with Multiple Attributes
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Different methodologies are utilised in this research to assess the e ciency of spectral handoff in cognitive radio networks. We employ a variety of networks for testing, including UMTS,
Based Spectrum Sensing Techniques of Maximum-Minimum Eigenvalue and Energy-Minimum Eigenvalue with Energy Detection in Cognitive Radio
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for cognitive radio systems where spectrum holes can be accurately detected and made available for secondary user without interference. In literature, various methods of spectrum review of working of cognitive radio networks, cognitive radio network functionality, concept in cognitive radio networks, and spectrum sensing techniques in cognitive radio networks
Joint Optimization of Trajectory and Resource Allocation for Time-Constrained UAV-enabled Cognitive Radio Networks
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This correspondence investigates the average throughput in a UAV-enabled cognitive radio network, where the UAV is regarded as a dedicated secondary user to enhance the network
Non-Cooperative Learning Based Routing for 6G-IoT Cognitive Radio Network
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the spectrum scarcity problem is solved by the help of Cognitive Radio (CR) . Therefore, Cognitive Radio Network (CRN) is likely to transfuse into every range of wireless networks [5
Enhancement of Cognitive Radio Spectrum with Proposed Cascade Filter Model
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This problem has been solved through cognitive radio (CR) the cognitive radio performance and perform a comparison between proposed filter with the traditional cognitive radiocognitive radio networks. Owing to this, power allocation policies are proposed which underlay cognitive radio it for data transmission over cognitive radio networks. Adaptive methods
Data Packet Optimization Incognitive Radio Sensor Network Using Ofdm
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Cognitive Radio solved this first and primarily essential problem (CR). Cognitive radio is a smart radio The idea of cognitive radio entails assigning frequencies to secondary users
Optimization of Cognitive Radio System Using Self-Learning Salp Swarm Algorithm
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Cognitive radio (CR) technology has garnered much interest in recent years as a means of alleviating the seeming scarcity of accessible bandwidth. Motivated by FCC research
Frequency Tunable Filtenna Using Defected Ground Structure Filter in the Sub-6GHz for Cognitive Radio Applications.
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Riouch, Dual port antenna combining sensing and communication tasks for cognitive radio antenna and narrow band antennas for cognitive radio applications, PhotonIcs
Mathematical Analysis And Performance Evaluation Of The Cell-Free Mmimo Networks Based On Cognitive Relays
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Proposed Cognitive Relay Based Cell-Free mMIMO Network In this section, the cognitive radio algorithm is applied The cognitive radio can be applied according to the following steps;
Software Defined Radio Node Topology Deployment Method Based on Multiple Attribute Decision Making
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This article discusses and analyzes the existing schemes of computer-assisted radio node topology deployment in cognitive radio networks. Aiming at the distributed cognitive radio
LITERATURE SURVEY ON SPECTRUM OCCUPANCY MEASUREMENT
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transmission parameters to improve radio operating behavior. in basic theory of cognitive radio technology, according to on the Cognitive radio engine and cognitive radio will help to
Online machine learning algorithms to optimize performances of complex wireless communication systems
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[1 13] is a fundamental concept in wireless systems . It learns the cognitive radio is the cognitive cycle : learning and action, and their feedback cycle. The concept of cognitive radio nanoelectronics and gigascale systems VLSI circuits and systems SoC and NoC, MEMS and NEMS, VLSI digital signal processing, wireless communications, cognitive radio and data
ADVANCE SOLAR CHARGING STATION FOR EV
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Umamaheswari, Supervised machine learning techniques in cognitive radio networks Handover-based spectrum allocation in cognitive radio networks, M. Suganya and H.
Iterative Space Time Block Equalizer for Single Carrier Systems with Receiver Nonlinearity
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cognitive radio empowered by software radios, massive multiple-input, multiple-output (MIMO) antenna systems For instance, cognitive radio based Internet of Things (IoT) is considered The digital age has come, so computers themselves are no longer so esteemed and need to be strengthened by intelligent and autonomous systems . With digitization as the driving
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
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The IoT integrates a series of existing state-of-the-art solutions and technologies, such as wireless sensor networks, cognitive radio ad hoc networks, cloud computing, big data, and end-
The Space Digital Dome: Autonomous Defense of Space Vehicles from Radio Frequency Interference
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improved the bandwidth coverage of modern ES/EP systems . It has led to the creation of a competent set of collection and response systems . The integration of highspeed AnalogDigital
Antenna Engineering for Various Applications with Low-Cost Product Manufacturing
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In this short communication, it is premeditated to specify various types of antennas used in different field with low-cost product manufacturing. Antenna means for radiating radio waves,
Radio resource allocation for multi‐antenna gateway stations of diverse NGSO constellation networks
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conducted by Zhang in [21 23] based on Cognitive Radio (CR) techniques to evaluate the inter- Power allocation based on beamforming in cooperative cognitive radio networks with
OPTIMIZATION OF RECEIVED SIGNAL USING SLOTTED WAVEGUIDE ANTENNA FROM LONG TERM EVOLUTION (LTE) DRIVE TEST DATA USING
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His areas of research include clustering in Ad Hoc networks, QoS supports in wireless networks, channel assignment in cognitive radio network and WDM optical networks, machine She successfully led and completed two research projects in the area of XML database systems and document processing in collaboration with Beijing University. Both systems were
Wide-Band Frequency Tunable Antenna for 4G, 5G/Sub 6 GHz Portable Devices and MIMO Applications
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A frequency reconfigurable antenna is examined in [16], employing MEMS switches, which are widely used in cognitive radio units. The drawback to such a design is that wide use of
Distributive Processor Task Scheduling for the Cyber-Physical Systems A Traveling Salesman Problem Approach
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Task scheduling is one of the critical processes in cyber-physical systems to meet real-time deadlines. In the cyber-physical system, the processor is distributed at different locations
QPSK DQPSK Authentication Using Constellation Perturbation on a Radio Physical Layer
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and would also have predictive value for systems which operate outside the range of Chen, Cryptographic link signatures for spectrum usage authentication in cognitive radio
Medium access control protocol design for wireless communications and networks review.
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Ben Othman, A multi-stage resource-constrained spectrum access mechanism for cognitive radio IoT networks: Time-spectrum block utilization, Future Generation Computer Systems
CP4152 DATABASE PRACTICES LTPC
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5G channel access air interface- Cognitive Radio spectrum management C-RAN architecture-Vehicular communications-protocol Network slicing MIMO, mmWave, Introduction to Chapter 3 deals with the objective of the study, which is to find the influence of cognitive barriers on drug adherence. Three cognitive barriers, viz., denial, refusal, and mistrust, have
Improving the Performance of HF Radio Networks in Presence of Interference: Frequency Hopping Automatic Link Establishment
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Adaptive frequency hopping (AFH) systems are introduced where communication techniques are utilized to improve frequency hopping systems performance. For instance, the receiver
MAHATMA GANDHI INSTITUTE OF TECHNOLOGY (Autonomous) M. Tech. in Digital Electronics and Communication Engineering Scheme of Instruction and
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able to Understand the fundamental concepts of cognitive radio networks. Develop the cognitive radio as well as techniques for spectrum holes detection that cognitive radio takes
AJOSR Vol. Issue 2.Adegboye and Adegoke
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the cognitive radio network (CRN). Legitimate secondary users which are not close to the partitioning planes cannot be used in construct the classification model. Thus, such users
Robust Energy-Efficient Optimization for Heterogeneous Networks with Residual Hardware Impairments
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Ray, Censored spectrum sharing strategy for MIMO systems in cognitive radio networks, Wang, Energy-efficient resource management in OFDM-based cognitive radio networks
Low-complexity Deep Unfolded Neural Network Receiver for MIMO Systems Based on the Probability Data Association Detector
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for MIMO systems . That way, it is expected that the aforementioned advantages of data-driven detectors in SISO systems could be transferred to MIMO systems while advantageous
Joint optimization of spectral efficiency and energy efficiency with low-precision ADCs in cell-free massive MIMO systems
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forcing (ZF) receiver in cell-free massive MIMO systems . Then we analyze the EE model of cell-free massive MIMO systems . Based on the above analysis, the tradeoff between SE and
UWB Radar Technology
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radio system consent to pick signals relying on their densities. Thus, the density array of the majority of the radio manufacturing systems is of the current radio systems takes this offbeat
Unsupervised Spectrum Anomaly Detection Method for Unauthorized Bands
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Garcıa Armada, Signal detection and identification for OFDM cognitive radio [MS thesis], Universidad Carlos III de Madrid. A. Ebrahimzadeh and SA Seyedin, Digital signal
Research Article Knowledge Graph Construction for Intelligent Media Based on Mobile Internet
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Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to security, energy harvesting, relay-based routing in cognitive radio network, Machine Learning and Deep Learning in medical image processing. He has published more than 280
OTFS Enabled NOMA for MMTC Systems over LEO Satellite
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They can also be combined with spectrum shar⁃ ing technologies, such as the cognitive radio to increase the spectrum resources efficiency. In the wide area application of mMTC over
Author Accepted Version
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cognitive radio techniques [47]. On the other hand, the exclusiveuse model enables secondary users to obtain exclusive spectrum usage rights from the primary system either by giving systems mandate the integration of artificial intelligence techniques and processes make ICDICI an excellent venue for exploring the cognitive foundations for emerging data systems .
Design and implementation of a nano magnetic logic barrel shifter using beyond-CMOS technology
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Bit manipulation plays a significant role in high-speed digital signal processing (DSP) and data computing systems and shift and rotation operations are crucial functions in it. In general
Benefits of 5G Millimeter-wave Communication in IoT applications
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systems and the potential as well as the challenges of mm-wave when deploying in these systems In this paper, after the introduction will be the overviews of current 5G and IoT systems security, smart cities, e-health, and intelligent systems . This book also addresses several key issues in SDN energyefficient systems the Internet of Things, big data, cloud computing
A Study on Avoiding RFI in the Movement of Robots via Radio Resolving Number Problem
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To avoid this frequency interference between the robot, we introduce the concept of radio resolving number problem which helps monitor the robot s positions and avoid the radio
Design of high-speed software defined radar with GPU accelerator
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Software defined radar (SDRadar) systems have become an important area for future radar development and are based on similar concepts to Software defined radio (SDR). Most of the A photonics-based approach for simultaneous adaptive radiofrequency (RF) self-interference cancellation and frequency downconversion is proposed and demonstrated. By
3D Many-objective DV-hop Localization Model With NSGA3
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Wireless sensor location is a challenging task issue in the Internet of Things (IoT). Distance vector-hop (DV-hop) algorithm provides a range-free positioning scheme, but its position
5G Uplink Performance of Symbol-Based Schedulers with Network Slicing
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One of the key elements of the 5G system is network slicing which is a talented technique to create adapted end-to-end logic network path including dedicated and shared resources.
4th EAI International Conference on Management of Manufacturing Systems
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; cognitive radio networks; computation; cloud computing; ubiquitous connectivity, and in mode general smart living, smart cities, Internet of Things and more. The series publishes a
BEST PAPER
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We are delighted to introduce the proceedings of the first edition ofInternational Conference on Computing, Communication, Electrical and Biomedical Systems (ICCCEBS), which
cognitive radio systems IEEE PAPER 2021
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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