Search results for "Channel capacity"

showing 10 items of 40 documents

Capacity and Energy-Consumption Optimization for the Cluster-Tree Topology in IEEE 802.15.4

2011

International audience; 802.15.4 proposes to use a cluster-tree hierar- chy to organize the transmissions in Wireless Sensor Networks. In this letter, we propose a framework to analyze formally the capacity and the energy consumption of this structure. We derive a Mixed Integer Linear Programming (MILP) formulation to obtain a topology compliant with the standard. This formulation provides the optimal solution for the network capacity: this con- stitutes an upper bound for any distributed algorithms permitting to construct a cluster-tree. This framework can also be used to evaluate the capacity and to compare quantitatively different cluster-tree algorithms.

IEEE 802.15.4Mathematical optimizationLinear programming[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO]Computer scienceDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Topology (electrical circuits)02 engineering and technologyTopologyNetwork topologyChannel capacity[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringInteger programmingIEEE 802.15[ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO]MILP[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]capacity020206 networking & telecommunicationsEnergy consumption[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO]020202 computer hardware & architectureComputer Science ApplicationsDistributed algorithmModeling and Simulationcluster-treeWireless sensor network
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A study on the distribution of the envelope and the capacity of underwater acoustic channels

2014

This paper deals with the statistical analysis of the instantaneous capacity of shallow underwater acoustic communication (UWAC) channels under the assumption that the scatterers are randomly distributed on the surface and bottom of the ocean. We start by deriving exact closed-form expressions for the probability density function (PDF) of the total propagation path length from which the PDF of the path gains is obtained. Then, we study the distributions of the channel envelope and the capacity under line-of-sight (LOS) conditions. By performing the chi-square goodness-of-fit test, it is shown that the channel envelope is Rice distributed. Moreover, we investigate the effect of the ocean dep…

Physicsbusiness.industryAcousticsProbability density functionChannel capacityPath lengthPath (graph theory)UnderwaterTelecommunicationsbusinessEnvelope (mathematics)Underwater acoustic communicationComputer Science::Information TheoryCommunication channel2014 IEEE International Conference on Communication Systems
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A measurement-based channel model for vehicular communications in tunnels

2014

Wireless Communications and Networking Conference (WCNC), 2014 IEEE, Istanbul, TURQUIE, 06-/04/2014 - 09/04/2014; In this paper, we present a new version of the iterative nonlinear least square approximation (INLSA) algorithm for the design of measurement-based channel simulators. The proposed method aims to match the time-variant impulse response (TVIR) of the simulation model to that of the measured channel. The propagation delays are discerned directly from the measurements, whereas the gains, the Doppler frequencies, and the phases are computed iteratively by minimizing a matching error norm. We evaluate the performance of the proposed method in terms of the approximation of the transfe…

Spatial correlationCHANNEL SOUNDINGComputer scienceMIMOITERATIVE OPTIMIZATIONPROPAGATIONCOMMUNICATIONTransfer functionPrecodingTRAITEMENT DU SIGNALTECHNOLOGIE SANS FILChannel capacityImpulse responseSimulationANTENNEEmulationOPTIMISATIONCHANNEL MODELINGMOBILE FADING CHANNELSMODELISATIONTUNNELChannel state informationTRANSMISSION DES DONNEESTUNNEL CHANNELSAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingCommunication channel
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On the Statistical Properties of the Capacity of Spatially Correlated Nakagami-M MIMO Channels

2008

This paper studies the statistical properties of the channel capacity of spatially correlated Nakagami-m multiple- input multiple-output (MIMO) channels. We have derived closed- form expressions for the probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average duration of fades (ADF) of the lower bound on the channel capacity. In order to study the impact of the spatial correlation on the channel capacity, the analysis of the statistical properties of the channel capacity is carried out for different receiver antenna spacings. It is observed that the antenna spacing has a significant influence on the spread and maximum val…

Spatial correlationChannel capacityCumulative distribution functionStatisticsMIMOProbability distributionNakagami distributionProbability density functionFadingStatistical physicsComputer Science::Information TheoryMathematicsVTC Spring 2008 - IEEE Vehicular Technology Conference
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The Impact of Shadowing and the Severity of Fading on the First and Second Order Statistics of the Capacity of OSTBC MIMO Nakagami-Lognormal Channels

2011

Published version of an article in Wireless Personal Communications (2011), 1-16. Also available from the publisher at http://dx.doi.org/10.1007/s11277-011-0275-x This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) Nakagami- lognormal (NLN) channels. The NLN channel model allows to study the joint effects of fast fading and shadowing on the statistical properties of the channel capacity. We have derived exact analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the capacity…

Spatial correlationComputer scienceCumulative distribution functionMIMONakagami distributionComputer Science ApplicationsAverage duration of fades channel capacity land mobile terrestrial channels level-crossing rate Nakagami-lognormal channels shadowing effectsChannel capacityVDP::Mathematics and natural science: 400::Information and communication science: 420StatisticsFadingElectrical and Electronic EngineeringComputer Science::Information TheoryCommunication channelWireless Personal Communications
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The impact of spatial correlation on the statistical properties of the capacity of nakagami-m channels with MRC and EGC

2011

Published version of an article published in the journal: EURASIP Journal on Wireless Communications and Networking. Also available from the publisher at: http://dx.doi.org/10.1186/1687-1499-2011-116. OA In this article, we have studied the statistical properties of the instantaneous channel capacitya of spatially correlated Nakagami-m channels for two different diversity combining methods, namely maximal ratio combining (MRC) and equal gain combining (EGC). Specifically, using the statistical properties of the instantaneous signal-to-noise ratio, we have derived the analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rat…

Spatial correlationComputer sciencebusiness.industryComputer Networks and CommunicationsCumulative distribution functionTransmitterNakagami distributionAntenna diversityComputer Science ApplicationsChannel capacityDiversity combiningModulationStatisticsVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Signal ProcessingMaximal-ratio combiningTelecommunicationsbusinessCommunication channelComputer Science::Information TheoryEURASIP Journal on Wireless Communications and Networking
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On the statistical properties of the capacity of sparse multipath fading channels

2014

Most existing works in wireless communications assume rich scattering. However, there is growing experimental evidence that physical wireless channels can exhibit a sparse structure. By assuming an asymmetric Doppler power spectral density (PSD), we can model and simulate sparse channels by using a finite sum of weighted complex harmonic functions, also called sum of cisoids (SOC). In this paper, we focus on the analysis of the statistical properties of the instantaneous capacity of sparse SOC-based multipath fading channels under line-of-sight (LOS) conditions. The probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average…

Spatial correlationComputer sciencebusiness.industryCumulative distribution functionElectrical engineeringSpectral densityProbability density functionsymbols.namesakeChannel capacitysymbolsFadingStatistical physicsRayleigh scatteringbusinessMultipath propagationComputer Science::Information Theory2014 International Conference on Advanced Technologies for Communications (ATC 2014)
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Statistical Analysis of the Channel Capacity Outage Intervals in Massive MIMO Systems with OSTBC over Rayleigh Fading Channels

2015

This paper studies approximate solutions for the statistical properties of the outage intervals of the instantaneous capacity in massive multiple- input multiple- output (MIMO) sys- tems with orthogonal space-time block code (OSTBC) over Rayleigh fading channels. We take advantage from the fact that the probability density function (PDF) of the channel power gain can be approximated by a left-truncated Gaussian distribution if the number of transmit and receive antennas is large. Assuming a symmetrical Doppler power spectral density (PSD), a closed- form expression is presented for the Rice probability function of the outage durations. This function, in general, approximates the PDF of the …

Spatial correlationGaussianMIMOProbability density functionsymbols.namesakeChannel capacityElectronic engineeringsymbolsApplied mathematicsCapacity lossGaussian processComputer Science::Information TheoryRayleigh fadingMathematics2015 IEEE 81st Vehicular Technology Conference (VTC Spring)
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On the statistical properties of the capacity of amplify-and-forward channels under LOS conditions

2008

Amplify-and-forward channels in cooperative networks provide a promising improvement in the network coverage and system throughput. Under line-of-sight (LOS) propagation conditions in such cooperative networks, the overall fading channel can be modeled by a double Rice process. In this article, we have studied the statistical properties of the capacity of double Rice fading channels. We have derived the analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. The obtained results are studied for different values of the amplitudes of the LOS components in …

Spatial correlationbusiness.industryCumulative distribution functionProbability density functionThroughputTopologyCommunications systemChannel capacityFading distributionFadingTelecommunicationsbusinessComputer Science::Information TheoryMathematics2008 11th IEEE Singapore International Conference on Communication Systems
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On the Statistical Analysis of the Channel Capacity of Double Rayleigh Channels with Equal Gain Combining in V2V Communication Systems

2010

paper presented at the 2010 IEEE 71st Vehicular Technology Conference, Taipei. (c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Paper also available from the publisher: http://dx.doi.org/10.1109/VETECS.2010.5494112 In this article, we present a detailed study on the statistical properties of the channel capacity of vehicle-to-vehicle (V2V) fading channels with equal gain combining (EGC). A…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Communication and distributed systems: 423EngineeringSpatial correlationbusiness.industryCumulative distribution functionMIMOProbability density functionChannel capacityChannel state informationVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Gamma distributionElectronic engineeringFadingStatistical physicsbusinessComputer Science::Information Theory
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