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    On the capacity of Rician fading channels with full channel state information at low SNR

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    Type
    Conference Paper
    Authors
    Rezki, Zouheir cc
    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
    2012-06
    Permanent link to this record
    http://hdl.handle.net/10754/564576
    
    Metadata
    Show full item record
    Abstract
    The capacity of flat Rayleigh fading channels with full channel state information (CSI) at the transmitter and at the receiver at asymptotically low SNR has been recently shown to scale essentially as SNR log (1/SNR). In this paper, we investigate the Rician fading channel capacity with full CSI, and show that the capacity of this channel scales essentially as 1/1+K SNR log (1 /SNR), where K is the Rician factor. This characterization includes perfect CSI at both the transmitter and the receiver or noisy CSI at the transmitter and perfect CSI at the receiver. We also show that one-bit CSI at the transmitter is enough to achieve this asymptotic capacity using an On-Off power control scheme. Our framework may be seen as a generalization of previous works as it captures the Rayleigh fading channel as a special case by letting K goes to zero. © 2012 IEEE.
    Citation
    Rezki, Z., & Alouini, M.-S. (2012). On the capacity of Rician fading channels with full channel state information at low SNR. 2012 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2012.6364880
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2012 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2012 IEEE International Conference on Communications, ICC 2012
    ISBN
    9781457720529
    DOI
    10.1109/ICC.2012.6364880
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2012.6364880
    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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