University of Bahrain
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Capacity Analysis for Cooperative Amplify and Forward Relay MIMO in Correlated Channels

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dc.contributor.author Mesmar,R.
dc.contributor.author Mangoud, M. A.
dc.date.accessioned 2018-07-24T09:51:11Z
dc.date.available 2018-07-24T09:51:11Z
dc.date.issued 2016
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/621
dc.description.abstract In this paper, various channel models including outdoor Stochastic Spatial Clustered (OSSC) Channel Model have been implemented to investigate and optimize the capacity of different case studies of Amplify and Forward Relay MIMO systems. Hata Model has been included in the model to consider the power dissipation due to large scale fading. Generalized analytical capacity and diversity gains formulas have been presented for different scenarios and various antenna configurations. Comparative studies and analysis for optimum cases are introduced for different MIMO antenna configurations with uniform linear arrays and uniform circular arrays with antenna spacing and the antenna structure. Changing antenna parameters on system capacity was explored on the base stations and Relays. The effect of Comparative studies were carried out where all the three systems were compared against each other keeping the upper and lower bounds, i.e. a MIMO and SISO systems. Moreover, Relay nodes location and source power allocations (The power allocation ratio between the direct link and the relay links) are optimized to obtain the best capacity under different cooperative setups and total transmission power constrain. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ *
dc.subject MIMO en_US
dc.subject Relay en_US
dc.subject Correlated Channel en_US
dc.subject Amplify en_US
dc.subject Forward en_US
dc.title Capacity Analysis for Cooperative Amplify and Forward Relay MIMO in Correlated Channels en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/IJCDS/050108
dc.volume 05
dc.issue 01
dc.source.title International Journal of Computing and Digital Systems
dc.abbreviatedsourcetitle IJCDS


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