Search results for "Nakagami distribution"

showing 5 items of 15 documents

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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The influence of severity of fading on the statistical properties of the capacity of Nakagami-m channels with MRC and EGC

2010

In this article, we have studied the statistical properties of the capacity of Nakagami-m channels when spatial diversity combining, such as maximal ratio combining (MRC) and equal gain combining (EGC), is employed at the receiver. The presented results provide insight into the statistical properties of the channel capacity under a wide range of fading conditions in wireless links using L-branch diversity combining techniques. We have derived closed-form 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 statistical properties of the capacity ar…

Spatial correlationbusiness.industryComputer scienceNakagami distributionData_CODINGANDINFORMATIONTHEORYAntenna diversityDiversity combiningChannel state informationStatisticsFadingMaximal-ratio combiningTelecommunicationsbusinessComputer Science::Information TheoryRayleigh fading2010 European Wireless Conference (EW)
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Statistical properties of the capacity of double Nakagami-m channels

2010

paper presented at the 2010 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC), Modena, Italy. (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/ISWPC.2010.5483776 In this article, we have presented an extensive statistical analysis of the capacity of double1 Nakagami-m channels. The double Nakagami-m c…

VDP::Mathematics and natural science: 400::Information and communication science: 420::Communication and distributed systems: 423Spatial correlationbusiness.industryComputer scienceCumulative distribution functionNakagami distributionProbability density functionCommunications systemTopologylaw.inventionChannel capacityRelaylawVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552FadingTelecommunicationsbusiness
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Efficient Power Allocation for Multi-Cell Uplink NOMA Network

2019

Digital technologies are rapidly shaping the modern concepts of urbanization. It is a key element of developing practical smart cities of the future. In fact, they are the catalyst for the increasing networking of all areas of life in a smart city. Recent development in the domain of communication technologies has opened new avenues to realize the concept of smart cities. One of such communication technology is non-orthogonal multiple access (NOMA) for future cellular communications. This article, therefore, focuses on the interference management of uplink cellular NOMA systems. Specifically, we propose a power optimization technique for NOMA to improve the sum-rate in a multi-cell environm…

energiatehokkuusComputer science5G-tekniikkamatkaviestinverkot02 engineering and technologyNomaoptimointi0203 mechanical engineeringSmart cityTelecommunications link0202 electrical engineering electronic engineering information engineeringmedicineMulti-cellSmart citybusiness.industryPower optimization020206 networking & telecommunications020302 automobile design & engineeringNakagami distributionmedicine.diseasePower optimizationCellular communicationNon-orthogonal multiple access (NOMA)Key (cryptography)älytekniikkaNakagami-mbusinessComputer networkCommunication channel2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
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