2014
DOI: 10.1109/tit.2014.2318726
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Quasi-Static Multiple-Antenna Fading Channels at Finite Blocklength

Abstract: Abstract-This paper investigates the maximal achievable rate for a given blocklength and error probability over quasi-static multiple-input multiple-output (MIMO) fading channels, with and without channel state information (CSI) at the transmitter and/or the receiver. The principal finding is that outage capacity, despite being an asymptotic quantity, is a sharp proxy for the finiteblocklength fundamental limits of slow-fading channels. Specifically, the channel dispersion is shown to be zero regardless of whe… Show more

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Cited by 470 publications
(238 citation statements)
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“…Moreover, it is interesting to note that the approximation derived in (10) agrees very well with the numerical integration of (6), which is accurate for n > 100 for AWGN [9,Figs. 12 and 13] and fading channels [10].…”
Section: Numerical Resultsmentioning
confidence: 99%
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“…Moreover, it is interesting to note that the approximation derived in (10) agrees very well with the numerical integration of (6), which is accurate for n > 100 for AWGN [9,Figs. 12 and 13] and fading channels [10].…”
Section: Numerical Resultsmentioning
confidence: 99%
“…1.1.2] along with the definition of x F y . Finally, in (c) we return to variable z, and substituting (12) into (11) we attain (10) given that lim…”
Section: Appendix a Proof Of Theoremmentioning
confidence: 99%
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“…Most notably, Yang et. al [5] performed studies for finite blocklength coding in fading channels. They analyzed systems where the transmitter does not adapt the rate according to the instantaneous SNR of the channel and computed the maximum achievable rate for a certain error probability.…”
Section: Related Workmentioning
confidence: 99%
“…However, in this work we restrict the analysis to constant values 2 of the error probability . When the transmitter chooses a code with rate R * (n, ) according to (5), then the rate of this code depends on the SNR γi but the error probability of this code is always . Therefore, the error event Zi is also independent of γi, and the Mellin transform of g(γi, Zi) can be computed as…”
Section: Characterization Of Transmission Errorsmentioning
confidence: 99%