Coherent Multiple-Antenna Block-Fading Channels at Finite Blocklength

In this paper, we consider a channel model that is often used to describe mobile wireless scenarios: Multipleantenna additive white Gaussian noise channels subject to random (fading) gains with full channel state information at the receiver. The dynamics of the fading process are approximated by a p...

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Bibliographic Details
Main Authors: Collins, Austin (Author), Polyanskiy, Yury (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2020-04-17T18:49:30Z.
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Online Access:Get fulltext
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100 1 0 |a Collins, Austin  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
700 1 0 |a Polyanskiy, Yury  |e author 
245 0 0 |a Coherent Multiple-Antenna Block-Fading Channels at Finite Blocklength 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2020-04-17T18:49:30Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/124733 
520 |a In this paper, we consider a channel model that is often used to describe mobile wireless scenarios: Multipleantenna additive white Gaussian noise channels subject to random (fading) gains with full channel state information at the receiver. The dynamics of the fading process are approximated by a piecewise-constant process (frequency non-selective isotropic block fading). This paper addresses the finite blocklength fundamental limits of this channel model. Specifically, we give a formula for the channel dispersion - A quantity governing the delay required to achieve capacity. The multiplicative nature of the fading disturbance leads to a number of interesting technical difficulties that required us to enhance traditional methods for finding the channel dispersion. Alas, one difficulty remains: The converse (impossibility) part of our result holds under an extra constraint on the growth of the peak-power with blocklength. Our results demonstrate, for example, that while the capacities of nt × nr and nr × nt antenna configurations coincide (under fixed received power), the coding delay can be sensitive to this switch. For example, at the received SNR of 20 dB, the 16×100 system achieves capacity with codes of length (delay) which is only 60% of the length required for the 100×16 system. Another interesting implication is that for the MISO channel, the dispersionoptimal coding schemes require employing orthogonal designs such as Alamouti's scheme - A surprising observation considering the fact that Alamouti's scheme was designed for reducing demodulation errors, not improving coding rate. Finding these dispersion-optimal coding schemes naturally gives a criteria for producing orthogonal design-like inputs in dimensions where orthogonal designs do not exist. 
520 |a National Science Foundation CAREER award (grant CCF-12-53205) 
520 |a NSF (grant CCF-17-17842) 
520 |a Center for Science of Information (CSoI) (grant CCF-09-39370) 
546 |a en 
655 7 |a Article