Cognitive radio technology aims to tackle frequency shortage and misuse by allowing radios to detect unused spectrum and adapt transmission parameters. It was introduced by Mitola in 1999 to define radios that can evaluate their environment, decide transmission parameters, and learn from experience. The technology faces challenges in reliably sensing primary users, distinguishing them from noise, and developing commercial applications. If these challenges can be addressed, cognitive radio networks may offer a robust wireless connection between many intelligent devices regardless of location.
3. CR Technology
In order to tackle the problem of frequency shortage
and misuse, the idea of cognitive radio (CR) is
considered.
The principle of the CR was introduced by Mitola in
1999.
The CR can be defined as the radio which equipped with
intelligent algorithms that help it and its network to
evaluate the environment around them, and decide the
best values to reconfigure the appropriate parameters
to transmit the desired data, in addition to learning
from the previous experience.
4. The architecture of CRNs
The network architecture consists of two main categories;
licensed spectrum, and CRNs.
The cognitive radio should monitor the licensed spectrum in
order to find the holes that are caused by the idle primary
user.
CRN architecture (Zhang et al., 2012)
5. CR functions
Spectrum sensing: to give the CR enough information
about the environment around it.
Spectrum management: the CR monitors the
spectrum and find out the opportunities to perform
the best quality of service.
Spectrum mobility: involves policies and protocols
aimed to allowing dynamic frequency use and
frequency hopping.
Spectrum sharing: the CR aims to serve as many
secondary users as it can, by providing fair spectrum
sharing strategies.
6. Challenges
The fundamental technical 'bottleneck' in the way of CR
development is reliable spectrum sensing:
Sensing the primary user
Distinguishing it from the white noise and other
secondary users.
Find commercial applications to help CR technology to
flourish.
Also, there is a need for using an accurate and realistic
propagation model.
The ability to reconfigure its parameters in order to offer
the flexibility, to move from specific frequency to
another without loosing the service reliability.
7. Future of CR Technology
A new era of telecommunication networks is expected.
There will be a huge wireless network which consists of a
massive number of smart nodes.
The CR networks will offer a robust connection between all
radios in addition to intelligent devices such as sensors and
smart monitoring cameras (regardless of time and location).
8. Conclusion
CR promises to solve the shortage and misuse of spectrum.
A reliable spectrum sensing System is the main problem that
the research attempts to tackle.
The expected effects of this technology on the future of
telecommunications field are amazing, because the efficiency
of the network will be improved dramatically, which means
more wireless services with higher speeds and wider storage
capacity as well as increasing the reliability and stability of the
wide area networks.
Editor's Notes
Welcome every body,
My name is Nafel (if there is new audience)
the ten weeks was running fast, and we reach the end of our course fast.
My project is about a new technology called cognitive radio. And the aim is
The aim of this presentation is To give you a brief overview about the project and evaluate this experience.
The presentation is divided in three main parts
First of all I will present a cognitive radio technology overview
Second I will illustrate the main challenges and interests
Finally I will mention the major benefits from this experience (project)
In order to tackle the problem of frequency shortage and misuse, the idea of cognitive radio (CR) is considered as a feasible and attractive solution for improving spectrum efficiency.
The principle of the CR was introduced by Mitola in 1999.
The CR can be defined as the radio which equipped with intelligent algorithms that help it and its network to evaluate the environment around them, and decide the best values to reconfigure the appropriate parameters to transmit the desired data, in addition to learning from the previous experience (FCC, 2003).
As illustrated in figure 1 the network architecture consists of two main categories; licensed spectrum, and CRNs. These two components are controlled by the spectrum broker. The cognitive radio should monitor the licensed spectrum in order to find the holes that are caused by the idle primary user (Zhang et al., 2012).
Spectrum sensing: this function is very basic in order to give the CR enough information about the environment around it to allow the analysis and making the decision to transmit or not. There are three main strategies to perform the spectrum sensing: transmitter detecting, cooperative detecting, and interference based detection, and every strategy has different techniques to deal with the spectrum sensing through it.
Spectrum management: in this function, the CR monitors the spectrum and find out the opportunities to perform the best quality of service for both primary and secondary users.
Spectrum mobility: it involves policies and protocols aimed to allowing dynamic frequency use and frequency hopping.
Spectrum sharing: here, the cognitive radio aims to serve as many secondary users as it can, by providing fair spectr-um sharing strategies.
Technically, Sayrac argues that the fundamental technical 'bottleneck' in the way of CR development is reliable spectrum sensing this include many aspects like "incumbent detection/protection, security/privacy, interference manag-ement, equipment certification/conformance, machine readable interfaces and policy languages" (Sayrac, 2012:24).
As a result to the above argue, Sayrac suggests using the Geo-location databases in some environments such as where the spectrum availability is static in time or changing slowly. Although this is a special situation there is a need for using an accurate and realistic propagation model (ibid).
When the current obstacles are removed from the way of CR systems flouring, a new era of telecommunication networks is expected. There will be a huge wireless network which consists of a massive number of smart nodes that providing data processing with very high speed, wide range of storage capabilities, and embedded telecommunication services.
These capabilities will be presented as internet based and service driven to any radio combatable with the telecommunication network standards, which mainly require the ability to reconfigure its parameters in order to offer the flexibility, to move from specific frequency to another without loosing the service reliability.
Regardless of the physical place and the time, the CR networks will offer a robust connection between all radios in addition to intelligent devices such as sensors and smart monitoring cameras (Sayrac, 2012).
Cognitive radio technology promises to be a solution to the shortage and misuse of frequency spectrum. As a result the previous decade has witnessed a significant amount of research and the principle of artificial intelligence has been expanded to cover the whole network and its components rather than the radio devices.
Sensing the primary user and distinguishing it from the white noise and other secondary users are the main problems that the research attempts to tackle, in addition to trying to find commercial applications to help cognitive radio technology to flourish.
Finally, the expected effects of this technology on the future of telecommunications field are amazing, because the efficiency of the network will be improved dramatically, which means more wireless services with higher speeds and wider storage capacity as well as increasing the reliability and stability of the wide area networks.