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    On the low SNR capacity of MIMO fading channels with imperfect channel state information

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    Type
    Article
    Authors
    Benkhelifa, Fatma cc
    Tall, Abdoulaye
    Rezki, Zouheir cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2014-06
    Permanent link to this record
    http://hdl.handle.net/10754/563583
    
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    Abstract
    The capacity of multiple-input multiple-output (MIMO) Rayleigh fading channels with full knowledge of channel state information (CSI) at both the transmitter and the receiver (CSI-TR) has been shown recently to scale at low signal-to-noise ratio (SNR) essentially as SNR log(1/SNR), independently of the number of transmit and receive antennas. In this paper, we investigate the ergodic capacity of MIMO Rayleigh fading channel with estimated channel state information at the transmitter (CSI-T) and possibly imperfect channel state information at the receiver (CSI-R). Our framework can be seen as a generalization of previous works as it can capture the perfect CSI-TR as a special case when the estimation error variance goes to zero. In this paper, we mainly focus on the low SNR regime, and we show that the capacity scales as (1-α) SNR log(1/SNR), where α is the estimation error variance. This characterization shows the loss of performance due to error estimation over the perfect channel state information at both the transmitter and the receiver. As a by-product of our new analysis, we show that our framework can be also extended to characterize the capacity of MIMO Rician fading channels at low SNR with possibly imperfect CSI-T and CSI-R. © 1972-2012 IEEE.
    Citation
    Benkhelifa, F., Tall, A., Rezki, Z., & Alouini, M.-S. (2014). On the Low SNR Capacity of MIMO Fading Channels With Imperfect Channel State Information. IEEE Transactions on Communications, 62(6), 1921–1930. doi:10.1109/tcomm.2014.2321375
    Sponsors
    This paper was funded by a grant from the office of competitive research funding of KAUST, Saudi Arabia. The associate editor coordinating the review of this paper and approving it for publication was T. Q. S. Quek.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2014.2321375
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2014.2321375
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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