QoS Provisioning Spectrum Decision Algorithm Based on Predictions in Cognitive Radio Networks

Li, Yang; Yang, Dong; Zhang, Hui; Zhao, Haitao; Hai-xian, Shi; Zhao, Xingxing

doi:10.1109/wicom.2010.5601233

Cited by 14 publications

(8 citation statements)

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“…In [11,12], the use of a POMDP for spectrum selection in CRNs is proposed; moreover, these studies do not rely only on binary (i.e., idle/busy) measurements but instead consider a generalization in which the temporal variation of each available channel is able to capture different degrees of interference. Furthermore, different decision-making December 10, 2015;13:46] criteria for spectrum selection that can be found in the literature rely on databases that record historical information about the occupation of the different channels [32,33]. This type of information can be used to build predictive models on spectrum availability, as in [33].…”

Section: Related Work and Motivationsmentioning

confidence: 99%

“…Furthermore, different decision-making December 10, 2015;13:46] criteria for spectrum selection that can be found in the literature rely on databases that record historical information about the occupation of the different channels [32,33]. This type of information can be used to build predictive models on spectrum availability, as in [33]. In [34], an adaptive spectrum decision framework is presented, taking into account different types of applications, while in [35], a radio resource management method using both long-and short-term historical information is analysed.…”

Section: Related Work and Motivationsmentioning

confidence: 99%

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Implementation of Cognitive Radio Networks to evaluate spectrum management strategies in real-time

Raschellà

Umbert

2016

Computer Communications

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a b s t r a c tThis paper illustrates a Universal Software Radio Peripheral (USRP)-based real-time testbed that is able to evaluate different spectrum management solutions that exploit the Cognitive Radio (CR) paradigm. The main objective of this testbed is to provide an accurate and realistic platform by which the performance of innovative spectrum management solutions for a wide set of scenarios and use cases in the context of Opportunistic Networks (ONs) and Cognitive Radio Networks (CRNs) can be entirely validated and assessed before their implementation in real systems. Real-time platforms are essential to carry out significant studies and to accurately assess the performance of innovative solutions before their implementation in the real world. This work provides a comprehensive description of the testbed, highlighting many interesting implementation details and illustrating its applicability for different studies that rely on the CR paradigm. Then, a particular application in a realistic Digital Home (DH) scenario is also illustrated, which allows demonstrating the effectiveness of the real-time testbed and assessing its practicality in terms of user-perceived end-to-end Quality of Experience (QoE) in a realistic environment.

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Section: Related Work and Motivationsmentioning

confidence: 99%

Section: Related Work and Motivationsmentioning

confidence: 99%

Implementation of Cognitive Radio Networks to evaluate spectrum management strategies in real-time

Raschellà

Umbert

2016

Computer Communications

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“…Several research works have addressed the spectrum selection problem highlighting the importance of having efficient decision-making criteria. Some of these works rely on databases that record historical information about the occupation in the different channels [4] [5], which can be used to build predictive models on spectrum availability [6].…”

Section: Introductionmentioning

confidence: 99%

On the impact of the observation strategy in a POMDP-based framework for spectrum selection

Raschellà

Perez-Romero

Sallent

et al. 2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Dynamic Spectrum Access, based on the Cognitive Radio (CR) paradigm, is a promising solution to improve the currently inefficient spectrum utilization. In this respect, this paper deals with the spectrum selection problem when a number of radio links has to be established in a CR network. A novel strategy based on a Partially Observable Markov Decision Process (POMDP) is proposed combining partial observations of the interference state together with a statistical characterization of the interference dynamics. In this context, the use of an efficient observation strategy is a key element to account for the trade-off between achieved performance and measurement requirements. For that purpose, the aim of the paper is to propose and evaluate different observation policies for the POMDP-based spectrum selection framework. Results show that the proposed framework is able to achieve very similar performance than a strategy operating under full knowledge of the interference state requiring much less associated signaling.

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“…Not surprisingly, this topic has received a lot of interest in the recent literature (e.g., [12,13]). The flexibility provided by spectrum agility has been materialized in the form of increased efficiency through proper spectrum selection criteria.…”

mentioning

confidence: 99%

Knowledge management framework for robust cognitive radio operation in non-stationary environments

Bouali

Sallent

Perez-Romero

2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.Peer ReviewedPostprint (published version

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QoS Provisioning Spectrum Decision Algorithm Based on Predictions in Cognitive Radio Networks

Cited by 14 publications

References 9 publications

Implementation of Cognitive Radio Networks to evaluate spectrum management strategies in real-time

Implementation of Cognitive Radio Networks to evaluate spectrum management strategies in real-time

On the impact of the observation strategy in a POMDP-based framework for spectrum selection

Knowledge management framework for robust cognitive radio operation in non-stationary environments

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