DocumentCode
1258198
Title
Bounds on the Capacity of OFDM Underspread Frequency Selective Fading Channels
Author
Bergel, Itsik ; Benedetto, Sergio
Author_Institution
Sch. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
Volume
58
Issue
10
fYear
2012
Firstpage
6446
Lastpage
6470
Abstract
The analysis of the channel capacity in the absence of prior channel knowledge (noncoherent channel) has gained increasing interest in recent years. Yet, the noncoherent channel capacity is still unknown for the general case. In this paper, we derive bounds on the capacity of the noncoherent, underspread complex Gaussian, orthogonal frequency division multiplexing, wide sense stationary channel with uncorrelated scattering, under a peak power constraint or a constraint on the second and fourth moments of the transmitted signal. These bounds are characterized only by the system signal-to-noise ratio (SNR) and by a newly defined quantity termed effective coherence time. Intuitively, the effective coherence time can be interpreted as the length of a block in the block-fading model in which a system with the same SNR will achieve the same capacity as in the analyzed channel. Unlike commonly used coherence time definitions, it is shown that the effective coherence time depends on the SNR, and is a nonincreasing function of it. We show that for low SNR, the capacity is proportional to the effective coherence time, while for higher SNR, the coherent channel capacity can be achieved provided that the effective coherence time is large enough.
Keywords
Gaussian channels; OFDM modulation; channel capacity; fading channels; OFDM; channel capacity; orthogonal frequency division multiplexing; peak power constraint; quantity termed effective coherence time; signal-noise ratio; uncorrelated scattering; underspread complex Gaussian channel; underspread frequency selective fading channels; wide sense stationary channel; Channel capacity; Channel estimation; Coherence; Fading; OFDM; Signal to noise ratio; Vectors; Channel capacity; frequency-selective fading channel; time-varying channels;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2012.2205662
Filename
6259855
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