DocumentCode :
82249
Title :
Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka´s Theorem
Author :
Morgenshtern, V.I. ; Riegler, Erwin ; Wei Yang ; Durisi, Giuseppe ; Shaowei Lin ; Sturmfels, B. ; Bolcskei, Helmut
Author_Institution :
Dept. of Stat., Stanford Univ., Stanford, CA, USA
Volume :
59
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
4213
Lastpage :
4229
Abstract :
We find the capacity pre-log of a temporally correlated Rayleigh block-fading single-input multiple-output (SIMO) channel in the noncoherent setting. It is well known that for block-length L and rank of the channel covariance matrix equal to Q, the capacity pre-log in the single-input single-output (SISO) case is given by 1-Q/L. Here, Q/L can be interpreted as the pre-log penalty incurred by channel uncertainty. Our main result reveals that, by adding only one receive antenna, this penalty can be reduced to 1/L and can, hence, be made to vanish for the block-length L→∞, even if Q/L remains constant as L→∞. Intuitively, even though the SISO channels between the transmit antenna and the two receive antennas are statistically independent, the transmit signal induces enough statistical dependence between the corresponding receive signals for the second receive antenna to be able to resolve the uncertainty associated with the first receive antenna´s channel and thereby make the overall system appear coherent. The proof of our main theorem is based on a deep result from algebraic geometry known as Hironaka´s Theorem on the Resolution of Singularities.
Keywords :
Rayleigh channels; covariance matrices; receiving antennas; transmitting antennas; Hironaka theorem; Rayleigh block fading single input multiple output channel; SISO channel; algebraic geometry; capacity prelog; channel covariance matrix; channel uncertainty; noncoherent SIMO channels; prelog penalty; receive antenna channel; single input single output; statistical dependence; transmit antenna; transmit signal; Covariance matrix; Equations; Mathematical model; Receiving antennas; Signal to noise ratio; Uncertainty; Vectors; Fading; multiple-antenna channels; noncoherent capacity;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2013.2251394
Filename :
6475182
Link To Document :
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