MIMO Ricean channel capacity: an asymptotic analysis

Lebrun, G.; Faulkner, M.; Shafi, Mansoor; Smith, Peter J.

doi:10.1109/twc.2006.1638655

Cited by 21 publications

(17 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we consider a MIMO Rician fading channel where the channel matrix in (1) is modeled by [7] fk -[;h A. Case I: Peifect CSI-TR When we have perfect CSI-TR, the capacity of MIMO Rician fading channels at low power regime can be derived as follows.…”

Section: Low Snr Capacity Of Mimo Rician Fa Dingmentioning

confidence: 99%

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

Benkhelifa

Tall

Rezki

et al. 2014

2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

1 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(l/SNR), independently of the number of transmit and receive antennas. In this paper, we investigate the ergodic capacity of MIMO Rayleigh fading chan nel 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 (I -a) SNR log(I /SNR), where a 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.

show abstract

Section: Low Snr Capacity Of Mimo Rician Fa Dingmentioning

confidence: 99%

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

Benkhelifa

Tall

Rezki

et al. 2014

2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

View full text Add to dashboard Cite

show abstract

“…Several researches, operating in Ricean-fading MIMO systems, have been published about closed-form upper bounds on the ergodic capacity. For example, in [4], an asymptotic upper bound was investigated on uncorrelated channels, while [5], [6] present bounds (upper and lower) for the correlated channel case. In turn, [7], [8] derived bounds and approaches for rank-1 MIMO channels.…”

Section: Introductionmentioning

confidence: 99%

“…Although the analysis on the ergodic capacity has been exhaustively analyzed in several settings [4]- [8], this subject still wakes up interest, especially when it is necessary to explore the limits of a given system. However, to obtain analytical closed-form formulas to ergodic capacity, in general, is a very difficult task.…”

Section: Introductionmentioning

confidence: 99%

Upper Bound of Ergodic Capacity for MIMO Channels with Ricean-Fading using Majorization Theory

Guimarães¹,

Cavalcante²

2012

Journal of Communication and Information Systems

View full text Add to dashboard Cite

Abstract-This paper presents a closed-form upper bound for the ergodic capacity of spatially uncorrelated Ricean flat-fading channels with multiple-input multiple-output (MIMO) antennas. By considering an arbitrary number of antennas at both the transmitter and receiver sides and assuming that the channel state information (CSI) is completely unknown at the transmitter, the Majorization theory is used as a powerful mathematical tool, which allows us to derive an upper bound on the channel capacity for this class of channels. The upper bound obtained does not depend on the Ricean-K factor. Moreover, in the high signal-to-noise-ratio (SNR) regimes, we give another approximation for Ricean-fading channel capacity. Finally, we present some numerical results that illustrate the validity of our approach.

show abstract

“…As a result, the capacity is significantly improved by transmitting multiple data streams simultaneously through these eigen-subchannels. Although there are many analytical results that investigate the capacity for MIMO Ricean and Rayleigh fading channels (see [2][3][4][5][6] and the references therein), there are only limited works that consider error probability. For the Rayleigh fading case, explicit closedform expressions on bit error rate (BER) have been derived for MIMO-SVD systems with and without channel estimation error [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

BER Analysis of MIMO-SVD Systems with Channel Estimation Error and Feedback Delay

Jin²,

McKay

et al. 2007

2007 IEEE International Conference on Communications

View full text Add to dashboard Cite

This paper analyzes the average bit error rate (BER) performance of singular value decomposition-based multiple-input multiple-output systems with channel estimation error and feedback delay over uncorrelated Ricean fading channels. By utilizing marginal unordered eigenvalue distributions of complex noncentral Wishart matrices, we derive exact closedform BER expression under the assumption of equal power allocation. Our results apply for various modulation formats and arbitrary numbers of transmit and receive antennas. Our results show the average BER increases with channel estimation error, feedback delay and Ricean K-factor at a polynomial rate that is inversely proportional to the difference between the numbers of transmit and receive antennas. We also show that the achievable BER performance is limited by the presence of an irreducible error floor as the signal-to-interference-plus-noise ratio increases.

show abstract

MIMO Ricean channel capacity: an asymptotic analysis

Cited by 21 publications

References 54 publications

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

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

Upper Bound of Ergodic Capacity for MIMO Channels with Ricean-Fading using Majorization Theory

BER Analysis of MIMO-SVD Systems with Channel Estimation Error and Feedback Delay

Contact Info

Product

Resources

About