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    Adaptive transmit selection with interference suppression

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    Type
    Conference Paper
    Authors
    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
    2010
    Permanent link to this record
    http://hdl.handle.net/10754/564255
    
    Metadata
    Show full item record
    Abstract
    This paper studies the performance of adaptive transmit channel selection in multipath fading channels. The adaptive selection algorithms are configured for single-antenna bandwidth-efficient or power-efficient transmission with as low transmit channel estimations as possible. Due to the fact that the number of active co-channel interfering signals and their corresponding powers experience random behavior, the adaptation to channels conditions, assuming uniform buffer and traffic loading, is proposed to be jointly based on the transmit channels instantaneous signal-to-noise ratios (SNRs) and signal-to- interference-plus- noise ratios (SINRs). Two interference cancelation algorithms, which are the dominant cancelation and the less complex arbitrary cancelation, are considered, for which the receive antenna array is assumed to have small angular spread. Analytical formulation for some performance measures in addition to several processing complexity and numerical comparisons between various adaptation schemes are presented. ©2010 IEEE.
    Citation
    Radaydeh, R. M., & Alouini, M.-S. (2010). Adaptive transmit selection with interference suppression. IEEE 5th International Symposium on Wireless Pervasive Computing 2010. doi:10.1109/iswpc.2010.5483768
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE 5th International Symposium on Wireless Pervasive Computing 2010
    Conference/Event name
    IEEE 5th International Symposium on Wireless Pervasive Computing 2010, ISWPC 2010
    ISBN
    9781424468584
    DOI
    10.1109/ISWPC.2010.5483768
    ae974a485f413a2113503eed53cd6c53
    10.1109/ISWPC.2010.5483768
    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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