The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform

Abdelhakim Hafid - One of the best experts on this subject based on the ideXlab platform.

  • GLOBECOM - Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

  • Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

Jiaxun Li - One of the best experts on this subject based on the ideXlab platform.

  • GLOBECOM - Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

  • Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

Haitao Zhao - One of the best experts on this subject based on the ideXlab platform.

  • GLOBECOM - Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

  • Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

Shaojie Zhang - One of the best experts on this subject based on the ideXlab platform.

  • GLOBECOM - Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

  • Cross-Layer Optimization on Access Delay in Channel-Hopping Based Cognitive Radio Networks
    2018 IEEE Global Communications Conference (GLOBECOM), 2018
    Co-Authors: Jiaxun Li, Haitao Zhao, Shaojie Zhang, Abdelhakim Hafid
    Abstract:

    In this paper, we propose an optimization approach on access delay by jointly modeling imperfect spectrum sensing and multi-channel multi-secondary user (SU) access contention, from a cross-layer perspective, for channel-hopping (CH) based cognitive radio networks (CRNs). Specifically, we first employ an absorbing Markov chain to model the multi-SU access contention process by combining the impacts of spectrum sensing and rendezvous; furthermore, we propose a methodology to derive the Enclosed Expression of rendezvous probability by analyzing the regularity and the periodicity of a CH rendezvous algorithm. We further analyze the access delay model and compute the optimal parameter combination (e.g., sensing duration and access contention duration) to build a communication link within minimum time duration Theoretical analysis and simulation results validate the proposed optimization approach and show that the optimization of cross-layer parameters can significantly decrease SUs' access delay. Moreover, the impact of the numbers of SUs and channels is also analyzed to study the relationship between CRN size and SUs' minimum access delay.

Mario Gómez-torrente - One of the best experts on this subject based on the ideXlab platform.

  • Semantics vs. Pragmatics in Impure Quotation
    The Semantics and Pragmatics of Quotation, 2017
    Co-Authors: Mario Gómez-torrente
    Abstract:

    I defend a semantic theory of quotation marks, according to which these are ambiguous, as they have several different acceptations involving corresponding different conventional indications. In particular, in allusion (“mixed”) uses, the corresponding conventional indication is one with an adverbial or prepositional content, roughly equivalent to “using the quoted Expression or an appropriate version of it”. And in “scare” uses, the corresponding conventional indication is that the Enclosed Expression should be used not plainly but in some broadly speaking distanced way, or that it is being so used by the utterer. I also defend this view against some alternative views on which allusion and distance indications are to be seen as pragmatically conveyed. In particular, I consider several views that attempt to explain especially allusion and distance indications as pragmatic suggestions generated from a meager conventional basis, and I argue that they cannot accommodate a number of linguistic phenomena and reflectively supported theses about the use of quotation marks. I lay special emphasis on the fact that the main pragmatic theories fail to pass an extremely plausible test for challenges to polysemic accounts of an Expression.

  • Remarks on Impure Quotation
    Belgian Journal of Linguistics, 2003
    Co-Authors: Mario Gómez-torrente
    Abstract:

    Quotation marks are ambiguous, although the conventional rules that govern their different uses are similar in that they contain quantifications over quotable Expressions. Pure uses are governed by a simple rule: by enclosing any Expression within quotation marks one gets a singular term, the quotation, that stands for the Enclosed Expression. Impure uses are far less simple. In a series of uses the quotation marks conventionally indicate that (part of) the Enclosed Expression is a contextually appropriate version of Expressions uttered by some relevant agent. When the quotation marks have this meaning, it is tempting to think of them as contributing that indication to the truth-conditional content of the utterance. I adopt a cautious attitude towards this hypothesis, for the evidence in its favor is inconclusive. In other uses the quotation marks conventionally indicate that the Enclosed Expression should be used not “plainly” but in some broadly speaking “distanced” way, or that it is being so used by the utterer, and typically context makes clear the exact nature of the “distance” at stake. In these cases the quotation marks do not even appear to contribute that indication to the truth-conditional content of the utterance.