Exemplos de uso de Cognitive radio em Inglês e suas traduções para o Português
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Spectrum sensing for cognitive radio.
The technology of cognitive radio has been considered a promising solution to this problem.
A study of tv channels(digital and analog)spectrum sensing is developed to cognitive radio.
Cognitive radio introduces a new policy for spectrum access in communications systems.
For evaluation, moca is compared by simulations with tcp friendly rate control- cognitive radio(tfrc-cr) under representative scenarios of urban environments.
Cognitive radio(cr) have emerged as an alternative to reduce interference and intelligently use the spectrum.
Based on ieee 802.22 wireless regional area network(wran),our application extends the cognitive radio techniques to a 54mhz¿4ghz range.
To solve this problem the cognitive radio was proposed, which provides an opportunistic access to the spectrum.
This work proposes the concept andreports the implementation of the architecture acrof, which stands for adaptive and cognitive radio over fiber.
The cognitive radio concept evolves as a response to the scarcity of available frequency bands for telecommunication services.
The opportunistic spectrum access approach,employed through the cognitive radio network technology, has been used as a solution to the former issue.
The cognitive radio technology is being developedin universities and industry as a solution to the radio spectrum scarcity.
This work proposes a channel allocation methodology in a cognitive radio network(crn) that uses a predictive and adaptive channel database.
In this context, cognitive radio appears as a more efficient alternative, by providing opportunistic spectrum access, with the maximum bandwidth possible.
Blind signal search is a technique used in many different types of systems,ranging from cognitive radio to broadcasting applications such as television and radio. .
Cognitive radio have emerging as promising technology to tackle the problem of spectrum scarcity by opportunistically exploit the underutilized radio spectrum.
Recently, a new technique for spectrum sensing in cognitive radio(cr) networks has been proposed named cooperative power spectral density split cancellation cpsc.
In this work, technologies from both fronts are integrated in order to create a reference model for the cognitive radio terminals of the future internet.
Through these functions, a cognitive radio device is able to search for vacant channels to opportunistically transmit in a cognitive radio network.
Recently, an eigenvalue fusion approach for detecting idle subchannels of ofdma signals in the context of centralized cooperative spectrum sensing for cognitive radio(cr) was proposed.
However, cognitive radio networks should be managed, aiming to guaranty the proper operation of the cognitive radio devices, improving the performance of these devices.
The possibility of spectrum shortage and saturation,combined with the increasing demands for higher transmission rates are driving factors for research within cognitive radio networks.
The operation of spectrum sharing cognitive radio networks involves opportunistic access to the spectrum licensed to primary users(pus) by secondary users sus.
Cognitive radio(cr) networks are able to establish communication using vacant channels reserved for primary users without interfering in the communication of the incumbents.
Considering the current underutilization of radio frequency spectrum for wireless communication, the cognitive radio is seen as a key concept to enable the improvement of the radio frequency spectrum utilization.
In 1997, the concept of cognitive radio was proposed for the first time and evolved significantly to the present days, as a solution to the problem of electromagnetic spectrum scarcity.
The main purpose of the algorithms for automatic modulation classi cation in an intelligent receiver for cognitive radio or military applications is to identify the modulation of a signal so that the receiver can subsequently carry out the process of demodulation and then processing the received information.
However, cognitive radio(cr) has been put forward as the most promising solution to handle this complex ecosystem since it may provide better spectrum utilization and user coordination through non-traditional mechanisms.
Maximizing the secondary cognitive radio network throughput under the restriction of avoiding interference to the primary network is a main concern in recent research.
Cognitive radio is a new paradigm in the development of wireless communication systems that allows dynamic access to the electromagnetic spectrum and is, therefore, a strong candidate as a technological solution to the networks of the future.