Survey of IEEE standards supporting cognitive radio and dynamic spectrum access

Mody, Apurva N.; Sherman, Matthew; Martinez, Ralph; Reddy, Ranga; Kiernan, Thomas

doi:10.1109/milcom.2008.4753298

Cited by 13 publications

(10 citation statements)

References 4 publications

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“…As an example, we may refer to IEEE 802.22 Wireless Regional Area Network (WRAN) systems, a standard for using white spaces in the TV frequency spectrum [13], [14] in which PUs are so far from SUs. This fact motivates the following two categories.…”

Section: ) Correlation-unaware Schemes For Uncalibrated Arraysmentioning

confidence: 99%

Correlated Multiple Antennas Spectrum Sensing Under Calibration Uncertainty

Pourgharehkhan

Taherpour

Sala-Alvarez

et al. 2015

IEEE Trans. Wireless Commun.

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Abstract-We address the problem of spectrum sensing in Cognitive Radios (CRs) when the Secondary User (SU) is equipped with a multiantenna receiver. We consider scenarios with correlation between the received channels at different antennas and unequal per-antenna noise variances to accommodate calibration errors. First, we derive the genie-aided (benchmark) detector with perfect knowledge of the antenna correlation coefficients, Primary User (PU) signal power and noise covariance matrix, as well as its asymptotic performance. Then, we consider the sensing problem in which the SU is non-cognizant of the perantenna noise variances, the PU signal power and the correlation of channel gains, with a specific treatment of the two-antenna case. For a general multiantenna receiver, we propose to combine the derived test statistics among all antenna pairs. The related optimization problem to obtain the optimum combination weights is analyzed, which requires the analytical performance characterization of the constituent two-antenna detector. Thus, we compute the exact performance of the proposed detector in a special case (a particular case of the Hadamard Ratio test) in terms of its detection and false alarm probabilities. Performance analyses are verified with simulations, showing that the proposed detector outperforms several recently-proposed multiantenna detectors for CR in the scenarios considered.

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Section: ) Correlation-unaware Schemes For Uncalibrated Arraysmentioning

confidence: 99%

Correlated Multiple Antennas Spectrum Sensing Under Calibration Uncertainty

Pourgharehkhan

Taherpour

Sala-Alvarez

et al. 2015

IEEE Trans. Wireless Commun.

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“…Since the cognitive radio becomes an important technique, it was supported by the standards of IEEE 802.22 and SCC41 [5, and 6]. A cognitive radio architecture was handled in [7], while the basic building blocks and a lot of elements which are necessary in this system were stated in [8].…”

Section: Cognitive Radiomentioning

confidence: 99%

Simulation of Cognitive Radio System Applying Different Wireless Channel Models

Shalaby¹,

Shokair²,

Abdo³

2013

IJCNC

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“…However, self-coexistence is difficult to achieve in CR scenarios because well-defined cellular architectures and frequency allocations are not provided, primary users have non-deterministic activities, and neighbouring secondary users compete for the same spectrum holes. According to Mody et al [18], coexistence does not require the use of cognitive techniques, but the latter can be used to facilitate the former.…”

Section: Self-coexistencementioning

confidence: 99%

“…Mody et al [18] present a survey of CR standardization activities performed by the IEEE. IEEE 802.22 (Wireless Regional Area Network) [40] and SCC41 (Dynamic Spectrum Access Networks), formerly known as P1900, the today primary cognitive standard efforts.…”

Section: Standardsmentioning

confidence: 99%

“…IEEE 802.22 (Wireless Regional Area Network) [40] and SCC41 (Dynamic Spectrum Access Networks), formerly known as P1900, the today primary cognitive standard efforts. However, Mody et al [18] refer other (non-CR) standards that have been addressing issues implicitly related to CR, such as the coexistence of radios that use different protocols in the same spectrum bands. In fact, coexistence has been considered for many years within IEEE standards, initially through tedious manual coordination and frequency planning, and CR techniques can be used to facilitate coexistence [41].…”

Section: Standardsmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

2011

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Currently, the radio spectrum is statically allocated and divided between licensed and unlicensed frequencies. Due to this inflexible policy, some frequency bands are growing in scarcity, while large portions of the entire radio spectrum remain unused independently of time and location. Cognitive Radio is a recent network paradigm that aims a more flexible and efficient usage of the radio spectrum. Basically, it allows wireless devices to opportunistically access portions of the entire radio spectrum without causing any harmful interference to licensed users. The present document surveys the literature on Cognitive Radio. It aims to provide a comprehensive and self-contained description of this research topic area, mainly focusing on communication protocols, spectrum decision issues, and future research directions. It is a tutorial in nature and consequently does not require any previous knowledge about Cognitive Radio. Readers are only required to have some general background on wireless data networks. Emphasis is put on Cognitive Radio genesis, issues that must be addressed, related technologies, standardization efforts, the state of the art, and future research directions according to the vision of the authors.

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Survey of IEEE standards supporting cognitive radio and dynamic spectrum access

Cited by 13 publications

References 4 publications

Correlated Multiple Antennas Spectrum Sensing Under Calibration Uncertainty

Correlated Multiple Antennas Spectrum Sensing Under Calibration Uncertainty

Simulation of Cognitive Radio System Applying Different Wireless Channel Models

Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions

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