Cognitive Radio Oriented Wireless Networks: A Comprehensive Introduction

Cognitive radio is a revolutionary technology that has the potential to dramatically improve the efficiency and utilization of wireless spectrum. Cognitive radio networks (CRNs) are wireless networks that use cognitive radio technology to sense the spectrum environment and adapt their transmission parameters accordingly. This allows CRNs to avoid interference with other wireless networks and to opportunistically use spectrum that is not being used by other devices.

How Cognitive Radio Networks Work

CRNs use a variety of techniques to sense the spectrum environment and adapt their transmission parameters. These techniques include:

Cognitive Radio-Oriented Wireless Networks: 14th EAI International Conference, CrownCom 2024, Poznan, Poland, June 11–12, 2024, Proceedings (Lecture Notes ... Telecommunications Engineering Book 291)

by Adrian Hendroff

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Language	:	English
File size	:	70437 KB
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Print length	:	630 pages
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Dimensions	:	4.21 x 0.43 x 6.54 inches

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• Spectrum sensing: CRNs use spectrum sensing to detect the presence of other wireless networks and to identify unused spectrum. Spectrum sensing can be performed using a variety of techniques, such as energy detection, feature detection, and matched filtering.
• Spectrum analysis: CRNs use spectrum analysis to characterize the properties of the spectrum environment. Spectrum analysis can be used to determine the bandwidth, power, and modulation type of other wireless networks. This information can be used to avoid interference and to opportunistically use spectrum that is not being used by other devices.
• Cognitive engine: The cognitive engine is the central decision-making component of a CRN. The cognitive engine uses the information from spectrum sensing and spectrum analysis to determine how to adapt the transmission parameters of the CRN. The cognitive engine can also learn from past experience and improve its decision-making over time.

Benefits of Cognitive Radio Networks

CRNs offer a number of benefits over traditional wireless networks, including:

• Improved spectrum utilization: CRNs can improve spectrum utilization by opportunistically using spectrum that is not being used by other devices. This can lead to increased capacity and throughput for wireless networks.
• Reduced interference: CRNs can reduce interference with other wireless networks by avoiding spectrum that is being used by other devices. This can improve the performance of all wireless networks in the area.
• Increased flexibility: CRNs are more flexible than traditional wireless networks because they can adapt their transmission parameters to the changing spectrum environment. This makes CRNs ideal for use in a variety of applications, such as mobile communications, public safety, and military communications.

Applications of Cognitive Radio Networks

CRNs have a wide range of potential applications, including:

• Mobile communications: CRNs can be used to improve the performance of mobile communications networks by increasing capacity and throughput and reducing interference.
• Public safety: CRNs can be used to provide public safety communications in the event of a natural disaster or other emergency. CRNs can be used to establish communications between first responders and to provide public information.
• Military communications: CRNs can be used to improve the performance of military communications networks by increasing capacity and throughput and reducing interference. CRNs can also be used to provide secure communications in hostile environments.

Challenges of Cognitive Radio Networks

CRNs also face a number of challenges, including:

• Spectrum sensing: Spectrum sensing is a complex and challenging task. Spectrum sensing techniques must be able to accurately detect the presence of other wireless networks and to identify unused spectrum. Spectrum sensing techniques must also be able to operate in a variety of environments, such as urban, rural, and indoor environments.
• Cognitive engine: The cognitive engine is the central decision-making component of a CRN. The cognitive engine must be able to make real-time decisions about how to adapt the transmission parameters of the CRN. The cognitive engine must also be able to learn from past experience and improve its decision-making over time.
• Security: CRNs are vulnerable to a variety of security threats, such as eavesdropping, jamming, and spoofing. CRNs must be able to protect themselves from these threats in order to provide secure communications.

CRNs are a promising technology that has the potential to revolutionize the way we use wireless spectrum. CRNs can improve spectrum utilization, reduce interference, and increase flexibility. CRNs have a wide range of potential applications, including mobile communications, public safety, and military communications. However, CRNs also face a number of challenges, including spectrum sensing, cognitive engine design, and security. These challenges must be overcome before CRNs can be widely adopted.

Image Alt Attributes:

• Cognitive radio network diagram: A diagram of a cognitive radio network, showing how the cognitive radio nodes sense the spectrum environment and adapt their transmission parameters.
• Spectrum sensing techniques: A table of spectrum sensing techniques, including energy detection, feature detection, and matched filtering.
• Cognitive engine: A block diagram of a cognitive engine, showing the different components of the cognitive engine and how they interact with each other.
• Applications of cognitive radio networks: A list of the potential applications of cognitive radio networks, including mobile communications, public safety, and military communications.
• Challenges of cognitive radio networks: A list of the challenges of cognitive radio networks, including spectrum sensing, cognitive engine design, and security.

Cognitive Radio-Oriented Wireless Networks: 14th EAI International Conference, CrownCom 2024, Poznan, Poland, June 11–12, 2024, Proceedings (Lecture Notes ... Telecommunications Engineering Book 291)

by Adrian Hendroff

4.6 out of 5

Language	:	English
File size	:	70437 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	630 pages
Paperback	:	160 pages
Item Weight	:	6.4 ounces
Dimensions	:	4.21 x 0.43 x 6.54 inches

FREE