DocumentCode :
173159
Title :
On the low SNR capacity of MIMO fading channels with imperfect channel state information
Author :
Benkhelifa, Fouad ; TALL, Abdoulaye ; Rezki, Zouheir ; Alouini, Mohamed-Slim
Author_Institution :
Electr. & Math. Sci. & Eng. (CEMSE) Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
fYear :
2014
fDate :
12-16 May 2014
Firstpage :
303
Lastpage :
310
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 our work, 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 also be extended to characterize the capacity of MIMO Rician fading channels at low SNR with possibly imperfect CSI-T and CSI-R.
Keywords :
MIMO communication; Rayleigh channels; Rician channels; CSI-R; CSI-T; CSI-TR; MIMO Rayleigh fading channels; MIMO Rician fading channels; SNR capacity; ergodic capacity; error estimation; imperfect channel state information; Fading; Noise measurement; Rician channels; Signal to noise ratio; CSI-R; CSI-T; Ergodic capacity; MIMO; Rayleigh fading channel; Rician fading channel; channel estimation; low SNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 12th International Symposium on
Conference_Location :
Hammamet
Type :
conf
DOI :
10.1109/WIOPT.2014.6850313
Filename :
6850313
Link To Document :
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