scholarly journals A Testbed Design of Spectrum Management in Cognitive Radio Network using NI USRP and LabVIEW

2019 ◽  
Vol 8 (9S2) ◽  
pp. 257-262
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Primary User ◽  
Spectrum Management ◽  
Interference Avoidance ◽  
Mobility Spectrum ◽  
Free Communication ◽  
Transmission Parameters ◽  
Radio Technology ◽  
Different Characteristics

Cognitive radio automatically detects the available channel in the wireless communication and has an adaptive radio technology network. It also changes the transmission parameters to run concurrently for more smooth communication. CR network allows the user to utilize the band in an opportunistic manner because it has different characteristics like capabilities and re-configurability. In this article, it shown the methodology, on how the primary user and the secondary user should communicate to provide error free communication. And also the framework on how to overcome the unique challenges occurred in the spectrum management like interference avoidance, QoS awareness and seamless communication. We also discussed about spectrum mobility, spectrum sharing, spectrum decision, and also spectrum sensing which are the characteristics of spectrum management

scholarly journals A Testbed Design of Spectrum Management in Cognitive Radio Network using NI USRP and LabVIEW

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1828-1834
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Primary User ◽  
Spectrum Management ◽  
Interference Avoidance ◽  
Mobility Spectrum ◽  
Free Communication ◽  
Transmission Parameters ◽  
Radio Technology ◽  
Different Characteristics

Cognitive radio automatically detects the available channel in the wireless communication and has an adaptive radio technology network. It also changes the transmission parameters to run concurrently for more smooth communication. CR network allows the user to utilize the band in an opportunistic manner because it has different characteristics like capabilities and re-configurability. In this article, it shown the methodology, on how the primary user and the secondary user should communicate to provide error free communication. And also the framework on how to overcome the unique challenges occurred in the spectrum management like interference avoidance, QoS awareness and seamless communication. We also discussed about spectrum mobility, spectrum sharing, spectrum decision, and also spectrum sensing which are the characteristics of spectrum management.

scholarly journals SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kedir Mamo Besher ◽  
Juan-Ivan Nieto-Hipolito ◽  
Mabel Vazquez Briseno ◽  
Raymundo Buenrostro Mariscal
Keyword(s):  
Cognitive Radio ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Spectrum Sharing ◽  
Primary User ◽  
Spectrum Management ◽  
Wireless Sensor ◽  
Battery Lifetime ◽  
Base Solution ◽  
User Interference

After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.

scholarly journals Cognitive Radio Spectrum Sensing Mechanisms in TV White Spaces: A Survey

2018 ◽  
Vol 8 (6) ◽  
pp. 3673-3680
Author(s):  
K. Kimani ◽  
M. Njiraine
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sensing ◽  
Spectrum Sharing ◽  
Limited Resource ◽  
Radio Spectrum ◽  
Spectrum Utilization ◽  
Transmission Parameters ◽  
Wireless Users ◽  
Radio Technology ◽  
Cognitive Radio Technology

Frequency spectrum is a limited resource and the increasing demand caused by emerging services, augmented number of wireless users along with the demand for high-quality multimedia applications have resulted in the overcrowding of the allocated spectrum bands. The overcrowding of spectrum bands has exacerbated by the current spectrum licensing policy which has emerged as a bottleneck to efficient spectrum utilization, due to its inflexibility, resulting in most of the licensed spectrum being severely under-utilized. However, the problem of scarcity of spectrum bands and the inefficient utilization of the already allocated radio spectrum can be smartly addressed through spectrum sharing by enabling opportunistic usage of the underutilized frequency bands. One of the most exciting ways of spectrum sharing is cognitive radio technology which allows a wireless node to sense the environment, detect the network changes, and then make intelligent decisions by dynamically changing its reception or transmission parameters to communicate while ensuring that no interference is affected to the licensed users. It thus improves the spectrum utilization by reusing the unused or underutilized spectrum owned by the incumbent systems (primary systems). In this paper, a comprehensive survey and review of recent research about the advances in cognitive radio technology will be carried out. We will also evaluate the various spectrum sensing techniques in a cognitive radio network in the UHF/VHF bands allocated for TV broadcasting.

Advanced Cognitive Radio-Enabled Spectrum Management

2015 ◽  
pp. 478-497 ◽  
Author(s):  
Chungang Yang ◽  
Jiandong Li
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Spectrum Utilization ◽  
Dynamic Spectrum Sharing ◽  
Research Problems ◽  
Radio Technology ◽  
Management Schemes ◽  
Networking Technologies

The growing demands of radio spectrum urgently require more efficient and effective spectrum exploitation and management technologies. Cognitive radio technology and its networking not only explores the potential white spectrum resources temporally and geographically, but also enables an extensive efficient utilization and optimization of the current allocated spectrum resources. Therefore, rapid progress has been made in the research on cognitive radio and its networking technologies to facilitate more flexibilities in spectrum utilization and management. In this chapter, the authors first summarize the current various advanced and flexible spectrum management schemes, including spectrum trading, leasing, pricing, and harvesting, and analyze their advantages and disadvantages. Then, they take the viewpoints of both the spectrum marketing perspective and spectrum technical perspective, and they propose the centralized and distributed dynamic spectrum sharing schemes, respectively. In particular, the authors introduce many novel advanced spectrum sharing scheme and summarize the open and possible research problems.

scholarly journals Improvement of Spectral Efficiency in Home Area Network using Cognitive Radio Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 1129-1131
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Queuing Theory ◽  
Primary User ◽  
Cognitive Networks ◽  
Area Network ◽  
Maximum Throughput ◽  
Multiple Channel ◽  
Faster Development ◽  
Home Region

The faster development of wireless communications has made the spectrum ending up with increasingly with more shortage. The idea of CR was proposed to meet the problem of spectrum effectiveness. In the cognitive networks, the SUs are permitted to detect, distinguish and access the frequency bands that are not at present used by the PU’s. the SU’s must outfit with the spectrum access information to use the primary user’s licence in the home region network. We propose a maximum throughput and power based cognitive radio for home region systems (HAN). At the point when there are different SU’s and numerous channels, spectrum sharing must be taken into account. In this paper we additionally propose a system of multiple channel sensing. We consider the interference to PU brought about by the dynamic access and the erroneous spectrum sensing technique. We investigate the obstruction brought about by the secondary user’s through a reestablishment hypothesis. Under the limitation of interference to primary user, the queuing theory is used to overcome this issue and to obtain the higher data rate of SU’s. finally, it is demonstrated that the cyclostationary detection method can be improved when extra channels are accessible.

Game Theory for Cognitive Radio Networks

Game Theory ◽  
2017 ◽  
pp. 487-502
Author(s):  
Sungwook Kim
Keyword(s):  
Cognitive Radio ◽  
Cognitive Abilities ◽  
Cognitive Radios ◽  
Primary User ◽  
Spectrum Management ◽  
Cognitive Networks ◽  
Wireless Devices ◽  
New Paradigm ◽  
Secondary Users ◽  
Dynamic Spectrum Management

A cognitive radio is an intelligent radio that can be programmed and configured dynamically. Its transceiver is designed to use the best wireless channels in its vicinity. Such a radio automatically detects available channels in the wireless spectrum, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given spectrum band at one location. This process is a form of dynamic spectrum management. In recent years, the development of intelligent, adaptive wireless devices called cognitive radios, together with the introduction of secondary spectrum licensing, has led to a new paradigm in communications: cognitive networks. Cognitive networks are wireless networks that consist of several types of users: often a primary user and secondary users. These cognitive users employ their cognitive abilities to communicate without harming the primary users. The study of cognitive networks is relatively new and many questions are yet to be answered. This chapter furthers the study.

The New Research of Spectrum Sensing Technology for Cognitive Radio

2014 ◽  
Vol 945-949 ◽  
pp. 2301-2305
Author(s):  
Yi Peng ◽  
Yan Jun Wang
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Communication Technology ◽  
Spectrum Sharing ◽  
Rapid Development ◽  
Current Model ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Sensing Technology

With the rapid development of wireless communication technology, the shortage of spectrum resources is becoming more and more serious, and may even become a bottleneck restricting of the development wireless communication technology in the future. Now, Spectrum sensing technology, spectrum sharing technology and spectrum management technology is the three core technologies of cognitive radio spectrum,and sensing technology is to implement the follow-up of spectrum sharing and the premise of spectrum management.So mainly to the current model of the cognitive radio spectrum sensing technology,to make a classification and comparison, finally it is concluded that cognitive users under the environment of higher signal-to-noise ratio, the better results of the perceived performance.

scholarly journals Cognitive Radio in Digital Agriculture: A Physical Layer Overlay Based Underground Radio Propagation System

2020 ◽  
Author(s):  
Usman Raza ◽  
Abdul Salam ◽  
Umit Karabiyik
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radios ◽  
Relay Node ◽  
Physical Layer ◽  
System Capacity ◽  
Interference Avoidance ◽  
Agricultural Field ◽  
Transmission Parameters ◽  
Digital Agriculture ◽  
Power And Rate Allocation

Abstract In digital agriculture, the cognitive radio technology is being envisaged as solution to spectral shortage problems by allowing agricultural cognitive users to co-exist with PU in the same spectrum on the field. Cognitive radios increase system capacity and spectral efficiency by sensing the spectrum and adapting the transmission parameters. This design requires a robust, adaptable and flexible physical layer to support cognitive radio functionality. In this paper, two different approaches are proposed to improve the application of cognitive radios in agriculture. A novel physical layer architecture for cognitive radio based on cognition, cooperation, and cognitive interference avoidance has been developed by using power control for digital agriculture applications. The design is based on sensing of spectrum usage, detecting the message/spreading code of PU, cognitive relaying, cooperation, and cognition of channel parameters. Moreover, the power and rate allocation, ergodic, and outage capacity formulas are also presented. Furthermore, a two-hop load balancing approach is presented using a cognitive radios as a relay node in the network to improve throughput and optimize the load between different area of an agricultural field.

scholarly journals Preventing Cognitive User Emulation Attack in Cognitive Radio Network by Calculating Trust Values Using Fuzzy Logic

2021 ◽  
pp. 239-250
Author(s):  
Spriha Pandey* ◽  
Ashawani Kumar
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Primary User ◽  
Trust Mechanism ◽  
Counter Measures ◽  
Security Issues ◽  
Security Attack ◽  
Management Functions ◽  
Cognitive User

Cognitive radio has proved to be an efficient and promising technology for the future of wireless networks. Its major and fundamental aim is to utilize the spectrum bands which are not efficiently exercised. These bands can be accessed using Opportunistic Spectrum Access (OSA), by a secondary user only when primary user is not transmitting over the channel. Cognitive radio manages spectrum through its cognitive radio cycle, which performs a set of management functions such as, spectrum sensing, spectrum assignment, spectrum sharing and spectrum mobility/handoff. During this cycle, at several stages, cognitive radio is very much vulnerable to security attacks. This is also due to the exposed nature of cognitive radio architecture. One such security attack which has not been much explored and can cause serious security issues is Cognitive User Emulation Attack (CUEA). This attack is expected to occur at the time of spectrum handoff. In this article the reason of occurrence of CUEA is explained along with counter measures to prevent this threat in the network by implementing trust mechanism using fuzzy logic. The proposed system is simulated and analyzed using MATLAB tool.

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