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Cognitive network

About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.


Papers
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Journal ArticleDOI
TL;DR: F fuzzy cognitive map has been used for modelling PEMFC system that is directed to provide a dynamic cognitive map from the affecting factors of the system and a rule-based approach provides interpretability while enhancing the performance of the overall system.

37 citations

Journal ArticleDOI
TL;DR: This paper proposes a generalized medium access control (MAC) signaling protocol based on random access and study its performance through a thorough theoretical analysis, finding its much superior performance in a wide range of network conditions.
Abstract: In this paper, collaborative sensing and distributed detection are addressed in the context of multi-band cognitive radios. In a cognitive radio network, all the nodes may sense the spectrum simultaneously. They should then exchange their sensing results in order to improve the reliability of the detection. This exchange of information has to be done effectively to improve the bandwidth efficiency of the network. We propose a generalized medium access control (MAC) signaling protocol based on random access and study its performance through a thorough theoretical analysis. We begin with a nonadaptive protocol with fixed parameters. The numerical results obtained from analysis reveals that the fixed parameter protocol is not robust to the variation of the network conditions which, in general, are unknown a priori. We thus extend the proposed protocol to an adaptive one. Analysis of this adaptive protocol reveals its much superior performance. Our analysis covers a wide range of network conditions, including the case where some spectral activities may be hidden from a few of cognitive nodes and the case when a cognitive node senses only a subset of spectral bands. All theoretical results are corroborated through computer simulations.

37 citations

Proceedings ArticleDOI
18 Apr 2010
TL;DR: This paper model the problem of gathering information cooperatively, among a network of secondary base stations (SBSs), and proposes an algorithm for forming the coalitions and results show that the proposed algorithm yields a performance advantage, in terms of the average payoff per SBS reaching up to 165% relative to the non-cooperative case for a large network with 27 SBSs.
Abstract: In order to maintain a conflict-free environment among licensed primary users (PUs) and unlicensed secondary users (SUs) in cognitive radio networks, providing frequency and geographical information through control channels, such as the cognitive pilot channel (CPC), has been recently proposed While existing literature focused on the type of information that these control channels need to carry, this paper investigates the problem of gathering this information cooperatively, among a network of secondary base stations (SBSs) In this regard, given a cognitive network where every SBS can only have accurate knowledge on a small number of different primary users (PUs) or channels, each SBS can cooperate with neighboring SBSs in order to improve its view of the spectrum, ie, learn about new PUs that can subsequently be used by its served SUs We model the problem as a hedonic coalition formation game among the SBSs and we propose an algorithm for forming the coalitions Using the proposed algorithm, each SBS can take an individual decision to join or leave a coalition while maximizing its overall potential utility, which accounts for the tradeoff between the benefit from learning new channels through coalition members and the cost from receiving inaccurate information Simulation results show that the proposed algorithm yields a performance advantage, in terms of the average payoff per SBS reaching up to 165% relative to the non-cooperative case for a large network with 27 SBSs

36 citations

Journal ArticleDOI
TL;DR: This work forms the online sequential channel sensing and accessing problem as a sequencing multi-armed bandit problem, and proposes a novel policy whose regret is in optimal logarithmic rate in time and polynomial in the number of channels.
Abstract: For cognitive wireless networks, one challenge is that the status and statistics of the channels’ availability are difficult to predict. Numerous learning based online channel sensing and accessing strategies have been proposed to address such challenge. In this work, we propose a novel channel sensing and accessing strategy that carefully balances the channel statistics exploration and multichannel diversity exploitation. Unlike traditional MAB-based approaches, in our scheme, a secondary cognitive radio user will sequentially sense the status of multiple channels in a carefully designed order. We formulate the online sequential channel sensing and accessing problem as a sequencing multi-armed bandit problem , and propose a novel policy whose regret is in optimal logarithmic rate in time and polynomial in the number of channels. We conduct extensive simulations to compare the performance of our method with traditional MAB-based approach. Simulation results show that the proposed scheme improves the throughput by more than 30% and speeds up the learning process by more than 100%.

36 citations

Patent
30 Mar 2011
TL;DR: In this paper, an approach for providing cognitive radio information sharing is provided, where a cognitive radio management platform determines one or more cognitive radio parameters associated with one or multiple locations. But, the approach is limited to the use of radio parameters in at least one distributed information space.
Abstract: An approach is provided for providing cognitive radio information sharing. A cognitive radio management platform determines one or more cognitive radio parameters associated with one or more locations. The cognitive radio management platform also causes, at least in part, storage of the one or more cognitive radio parameters in at least one distributed information space constituted by one or more namespaces, wherein the one or more namespaces within the at least one distributed information space are accessible to one or more cognitive radio devices.

36 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202317
202234
202175
2020104
2019121
2018134