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IEEE Transactions on Information Theory
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On Communication Over Unknown Sparse Frequency-Selective Block-Fading Channels

On communication over unknown sparse frequency-selective block-fading channels
Authors: Arun Pachai Kannu; Philip Schniter;

On Communication Over Unknown Sparse Frequency-Selective Block-Fading Channels

Abstract

This paper considers the problem of reliable communication over discrete-time channels whose impulse responses have length $L$ and exactly $S\leq L$ non-zero coefficients, and whose support and coefficients remain fixed over blocks of $N>L$ channel uses but change independently from block to block. Here, it is assumed that the channel's support and coefficient realizations are both unknown, although their statistics are known. Assuming Gaussian non-zero-coefficients and noise, and focusing on the high-SNR regime, it is first shown that the ergodic noncoherent channel capacity has pre-log factor $1-\frac{S}{N}$ for any $L$. It is then shown that, to communicate with arbitrarily small error probability at rates in accordance with the capacity pre-log factor, it suffices to use pilot-aided orthogonal frequency-division multiplexing (OFDM) with $S$ pilots per fading block, in conjunction with an appropriate noncoherent decoder. Since the achievability result is proven using a noncoherent decoder whose complexity grows exponentially in the number of fading blocks $K$, a simpler decoder, based on $S+1$ pilots, is also proposed. Its $ε$-achievable rate is shown to have pre-log factor equal to $1-\frac{S+1}{N}$ with the previously considered channel, while its achievable rate is shown to have pre-log factor $1-\frac{S+1}{N}$ when the support of the block-fading channel remains fixed over time.

To appear in IEEE Transactions on Information Theory

Keywords

FOS: Computer and information sciences, Communication theory, Computer Science - Information Theory, Information Theory (cs.IT), Applications of statistics in engineering and industry; control charts, Channel models (including quantum) in information and communication theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
Green
bronze