Search results for "channel capacity"

showing 10 items of 40 documents

Optimal Sampling Period and Required Number of Samples for OSTBC-MIMO Rayleigh Fading Channel Capacity Simulators

2014

The purpose of this paper is to contribute to the performance assessment of channel capacity simulators. Here, we consider the instantaneous capacity (also referred to as the mutual information) in orthogonal space-time block code (OSTBC) transceiver systems over multiple-input multiple-output (MIMO) Rayleigh fading channels. To ensure that the level-crossing rate (LCR) of the instantaneous capacity can efficiently and accurately be simulated, we derive closed-form approximate solutions to the optimal sampling period and the required number of samples to be generated. Several numerical examples will be presented to illustrate the usefulness of our procedure. It will also be shown that the d…

Block codesymbols.namesakeSpatial correlationChannel capacityControl theoryMIMOsymbolsMutual informationTransceiverGaussian processComputer Science::Information TheoryRayleigh fadingMathematics2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)
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Unitary Space–Time Constellation Design Based on the Chernoff Bound of the Pairwise Error Probability

2008

Unitary space-time constellation design is considered for noncoherent multiple-antenna communications, where neither the transmitter nor the receiver knows the fading coefficients of the channel. By employing the Clarke's subdifferential theorem of the sum of the kappa largest singular values of a unitary matrix, we present a numerical optimization procedure for finding unitary space-time signal constellations of any dimension. The Chernoff bound of the pairwise error probability is used directly as a design criterion. The constellations are found by performing gradient descent search on a family ldquosurrogaterdquo functions that converge to the maximum pairwise error probability. The comp…

Constellation diagramUnitary matrixLibrary and Information SciencesComputer Science ApplicationsCombinatoricsChannel capacityChernoff boundGradient descentAlgorithmRandom variableDecoding methodsPairwise error probabilityComputer Science::Information TheoryInformation SystemsMathematicsIEEE Transactions on Information Theory
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Capacity Analysis in Downlink WCDMA Systems Using Soft Handover Techniques With SIR-Based Power Control and Site Selection Diversity Transmission

2006

This work analyzes the downlink performance of a WCDMA system with site selection diversity transmission power control (SSDT) during soft handover mode. Signal to interference ratio (SIR) power control techniques are modeled and used in the simulations of this analysis. The study is focused on finding the optimum soft handover margin in terms of maximum system capacity under energy-per-bit to noise spectral density ratio (Eb/N0) quality requirements. The results of this analysis show an increase in user capacity of about 15 -20 % for optimum soft handover margins of 5 – 5.5 dB. Nevertheless, the resources required (number of scrambling codes) by base station increase faster than the number …

EngineeringSignal-to-interference ratioCode division multiaccessComputer Networks and Communicationsbusiness.industryNoise spectral densityAerospace EngineeringSoft handoverPower controlChannel capacityBase stationHandoverTEORIA DE LA SEÑAL Y COMUNICACIONESAutomotive EngineeringTelecommunications linkHandover techniquesElectronic engineeringSoft handover marginElectrical and Electronic EngineeringbusinessPower controlIEEE Transactions on Vehicular Technology
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A Geometrical Three-Ring-Based Model for MIMO Mobile-to-Mobile Fading Channels in Cooperative Networks

2011

Published version of an article published in the journal: Eurasip Journal on Advances in Signal Processing. Also available from the publisher at: http://dx.doi.org/10.1155/2011/892871. OA This paper deals with the modeling and analysis of narrowband multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) fading channels in relay-based cooperative networks. In the transmission links from the source mobile station to the destination mobile station via the mobile relay, non-line-of-sight (NLOS) propagation conditions are taken into account. A stochastic narrowband MIMO M2M reference channel model is derived from the geometrical three-ring scattering model, where it is assumed that an infi…

3G MIMOSpatial correlationComputer scienceMIMOlcsh:TK7800-8360TopologyCommunications systemlcsh:Telecommunicationlaw.inventionChannel capacityNarrowbandRelaylawlcsh:TK5101-6720Mobile stationVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Computer Science::Networking and Internet ArchitectureFadingElectrical and Electronic EngineeringComputer Science::Information Theorybusiness.industrylcsh:ElectronicsHardware and ArchitectureSignal Processingmobile-to-mobile fading channels MIMO channels space-time cross-correlation functionsTelecommunicationsbusinessCommunication channelEURASIP Journal on Advances in Signal Processing
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The Influence of the Severity of Fading and Shadowing on the Statistical Properties of the Capacity of Nakagami-Lognormal Channels

2008

This paper deals with the study of the statistical properties of the capacity of Nakagami-lognormal (NLN) channels for various fading environments. Specifically, the impact of shadowing and the severity of fading on the channel capacity is investigated. We have derived 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. These results are analyzed for different levels of shadowing and for various fading conditions, corresponding to different terrestrial environments. It is observed that the severity of fading and shadowing has a significant influence …

Channel capacityFading distributionComputer scienceCumulative distribution functionLog-normal distributionStatisticsNakagami distributionFadingComputer Science::Information TheoryCommunication channelRayleigh fadingIEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference
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Classification of Solutions to the Minimum Energy Problem in One Dimensional Sensor Networks

2016

We classify of the minimum energy problem in one dimensional wireless sensor networks for the data transmission cost matrix which is a power function of the distance between transmitter and receiver with any real exponent. We show, how these solutions can be utilized to solve the minimum energy problem for the data transmission cost matrix which is a linear combination of two power functions. We define the minimum energy problem in terms of the sensors signal power, transmission time and capacities of transmission channels. We prove, that for the point-to-point data transmission method utilized by the sensors in the physical layer, when the transmitter adjust the power of its radio signal t…

energy managementComputer sciencechannel capacityData_CODINGANDINFORMATIONTHEORY02 engineering and technologyMachine learningcomputer.software_genreTopologySignalInterference (communication)0202 electrical engineering electronic engineering information engineeringsensor networkComputer Science::Information Theorybusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTransmitter020206 networking & telecommunicationsTransmission (telecommunications)020201 artificial intelligence & image processingArtificial intelligenceTransmission timebusinessWireless sensor networkcomputerEnergy (signal processing)Data transmission
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Exact Closed-Form Expressions for the Distribution, the Level-Crossing Rate, and the Average Duration of Fades of the Capacity of OSTBC-MIMO Channels

2009

Article from the journal: IEEE Transactions on Vehicular Technology Official site: http://dx.doi.org/10.1109/TVT.2008.927038 This paper deals with some important statistical properties of the channel capacity of multiple-input-multiple-output (MIMO) systems with orthogonal space-time block code (OSTBC) transmission. We assume that all the subchannels are uncorrelated. For OSTBC-MIMO systems, exact closed-form expressions are derived 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 channel capacity. Furthermore, it will be shown that these exact closed-form expressions can be …

Block codeComputer Networks and CommunicationsCumulative distribution functionMIMOAerospace EngineeringProbability density functionChannel capacitysymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Automotive EngineeringsymbolsApplied mathematicsProbability distributionFadingElectrical and Electronic EngineeringGaussian processComputer Science::Information TheoryMathematicsIEEE Transactions on Vehicular Technology
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On the statistical properties of the capacity of OSTBC Nakagami-lognormal MIMO channels

2010

This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) Nakagami-lognormal (NLN) multiple-input multipleoutput (MIMO) 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 of NLN MIMO channels. It is observed that an increase in the MIMO dimension1 or a decrease in the severity of fading results in an increase in the mean channel capa…

Channel capacityCumulative distribution functionMIMOLog-normal distributionStatisticsFadingNakagami distributionProbability density functionStandard deviationComputer Science::Information TheoryMathematics2010 4th International Conference on Signal Processing and Communication Systems
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Maximum Lifetime Problem in Sensor Networks with Limited Channel Capacity

2016

We analyze the maximum lifetime problem in sensor networks with limited channel capacity for multipoint-to-multipoint and broadcast data transmission services. For the transmission model in which the transmitter adjust the power of its radio signal to the distance to the receiver we propose a new Signal to Interference plus Noise Ratio function and use it to modify the Shannon-Hartley channel capacity formula. We show, that in order to achieve an optimal data transmission regarding considered the maximum lifetime problem we cannot allow for any interference of signals. For considered transmission model and the modified capacity formula we solve the maximum lifetime problem in one dimensiona…

energy managementbusiness.industryComputer sciencechannel capacityComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTransmitterSignal-to-interference-plus-noise ratioData_CODINGANDINFORMATIONTHEORYwireless communicationsensor network lifetimeChannel capacityTransmission (telecommunications)Interference (communication)Electronic engineeringWirelessbusinessWireless sensor networkComputer Science::Information TheoryData transmission
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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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