Policy-based Dynamic Channel Selection Architecture for Cognitive Radio Networks

Na, Do-Hyun; Hao, Nan; Yoo, Sang‐Jo

doi:10.1109/chinacom.2007.4469600

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…A policy-based spectrum selection architecture for centralized CRNs is proposed in [66]. Three different pre-defined policies for spectrum selection are presented: weighted selection, sequential selection, and combined selection.…”

Section: A Spectrum Selection In Centralized Crnsmentioning

confidence: 99%

Spectrum Decision in Cognitive Radio Networks: A Survey

Masonta¹,

Mzyece²,

Ntlatlapa

2013

IEEE Commun. Surv. Tutorials

285

149

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Spectrum decision is the ability of a cognitive radio (CR) to select the best available spectrum band to satisfy secondary users' (SUs') quality of service (QoS) requirements, without causing harmful interference to licensed or primary users (PUs). Each CR performs spectrum sensing to identify the available spectrum bands and the spectrum decision process selects from these available bands for opportunistic use. Spectrum decision constitutes an important topic which has not been adequately explored in CR research. Spectrum decision involves spectrum characterization, spectrum selection and CR reconfiguration functions. After the available spectrum has been identified, the first step is to characterize it based not only on the current radio environment conditions, but also on the PU activities. The second step involves spectrum selection, whereby the most appropriate spectrum band is selected to satisfy SUs' QoS requirements. Finally, the CR should be able to reconfigure its transmission parameters to allow communication on the selected band. Key to spectrum characterization is PU activity modelling, which is commonly based on historical data to provide the means for predicting future traffic patterns in a given spectrum band. This paper provides an up-to-date survey of spectrum decision in CR networks (CRNs) and addresses issues of spectrum characterization (including PU activity modelling), spectrum selection and CR reconfiguration. For each of these issues, we highlight key open research challenges. We also review practical implementations of spectrum decision in several CR platforms.

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Section: A Spectrum Selection In Centralized Crnsmentioning

confidence: 99%

Spectrum Decision in Cognitive Radio Networks: A Survey

Masonta¹,

Mzyece²,

Ntlatlapa

2013

IEEE Commun. Surv. Tutorials

285

149

View full text Add to dashboard Cite

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“…In [8] authors propose a policy based mechanism for channel selection. The proposed mechanism is performed by a centralized base station.…”

Section: Related Workmentioning

confidence: 99%

Enhancing content dissemination for ad hoc cognitive radio

Bradai

Ahmed

Rachedi³

2014

2014 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Nowadays, the channel selection is a challenging task in cognitive radio because of the high radio activity and the preemptive priority of the licensed user, called primary user (PU). In this paper, we propose a DIStributed channel Selection mechanism for efficient content dissemination in COgnitive RaDio ad-hoc networks (DISCORD). DISCORD selects the most appropriate channel for content dissemination based on the PU channel occupancy and the importance of cognitive radio neighbors in the network. Indeed, a sender peer in DISCORD forecasts the channel primary user activity by the mean of the actual and statistical estimation of the channels occupancy and selects the most stable one. Moreover, it makes use of a new Social Networks Analysis (SNA) inspired metric to select the appropriate neighbors for high content dissemination in the network.The simulation results using NS2 shows that Discord presents highest performance in terms of interferences, PU priority respect and content delivery ratio in multi-hop CRNs comparing to four related protocols.

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“…The result is a protocol that provides an optimal channel list to be occupied. In spite of the selection methods, diversity shown in [23], and the use of five information variables for the decision making, this algorithm does not adjust the selection according to a particular application, for instance, BE or RT. Moreover, it lacks of the assessment of vague information as a substantial difference with respect to the proposed FAHP.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [23] propose dynamic channel-selection policies for CRNs in order to achieve efficient communication. Three types of methods for selecting channels are proposed as follows: the first is the weighted selection; the second is a sequential selection, and finally, a combined selection.…”

Section: Related Workmentioning

confidence: 99%

Multivariable algorithm for dynamic channel selection in cognitive radio networks

Hernández

Salgado

Garcı́a

et al. 2015

J Wireless Com Network

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The spectral handoff is important in cognitive wireless networks to ensure an adequate quality of service and performance for secondary user communications. This work presents a multivariable algorithm for dynamic channel selection used in cognitive wireless networks. The channel selection is based on the fuzzy analytical hierarchical process (FAHP) method. The selected criteria for choosing the best backup channel are probability of channel availability, estimated channel time availability, signal to noise plus interference ratio, and bandwidth. These criteria are determined by means of a customized Delphi Method and using the FAHP technique; the corresponding weight and significance is calculated for two applications classified as best effort (BE) and real time (RT). The insertion of the fuzzy logic in the AHP algorithm allows better handling of inaccurate information because, as shown the results, consider more options to evaluate in contrast to a conventional AHP. As a difference with related work, the performance of our proposed FAHP method was validated with captured data in experiments realized at the GSM frequency band (824-849 MHz). This is due to the challenge of finding white spaces to communicate in this frequency band. This band represents more disputes in accessing spectral opportunities than other radio frequency (RF) bands because of the high demand for mobile phone communications. The proposed FAHP algorithm has a practical computational complexity and provides an effective frequency-channel selection. This proposed FAHP algorithm presents a new methodology to select and classify the variables based on a modified version of the Delphi method. The results of the proposed method were contrasted numerically with other three methods.

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Policy-based Dynamic Channel Selection Architecture for Cognitive Radio Networks

Cited by 9 publications

References 3 publications

Spectrum Decision in Cognitive Radio Networks: A Survey

Spectrum Decision in Cognitive Radio Networks: A Survey

Enhancing content dissemination for ad hoc cognitive radio

Multivariable algorithm for dynamic channel selection in cognitive radio networks

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