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    Performance of adaptive MS-GSC with co-channel interference

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    Type
    Conference Paper
    Authors
    Daghfous, Mohamed A.
    Radaydeh, Redha Mahmoud Mesleh
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2011-06
    Permanent link to this record
    http://hdl.handle.net/10754/565859
    
    Metadata
    Show full item record
    Abstract
    Minimum selection generalized selection combining(MS-GSC) scheme has been proposed as a generalized power-saving variant of the conventional generalized selection combining(GSC) scheme. Previous analysis of the performance of MS-GSC has focused on interference-free environments. This paper aims to investigate the performance of adaptive signal-to-noise ratio (SNR)-based MS-GSC in the presence of co-channel interference over multipath fading channels. The adaptation thresholds are selected to enhance either the spectral efficiency or power efficiency of discrete-time rectangular signaling system. New closed-form expressions for the statistics of combined signal-to-interference-plus-noise ratio (SINR) are presented, which are then used to obtain analytical formulations for various performance measures. Numerical and simulation comparisons for the performance of the adaptation scheme are provided. © 2011 IEEE.
    Citation
    Daghfous, M.-A., Radaydeh, R. M., & Alouini, M.-S. (2011). Performance of Adaptive MS-GSC with Co-Channel Interference. 2011 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2011.5963133
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2011 IEEE International Conference on Communications, ICC 2011
    ISBN
    9781612842332
    DOI
    10.1109/icc.2011.5963133
    ae974a485f413a2113503eed53cd6c53
    10.1109/icc.2011.5963133
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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