2013 Information Theory and Applications Workshop (ITA) 2013
DOI: 10.1109/ita.2013.6503001
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Finite rate of innovation channel models and DoF of MIMO multi-user systems with delayed CSIT feedback

Abstract: Channel State Information at the Transmitter (CSIT) is of utmost importance in multiuser wireless networks, in which transmission rates at high SNR are characterized by Degrees of Freedom (DoF, the rate prelog). In recent years, a number of ingenious techniques have been proposed to deal with delayed and imperfect CSIT. However, we show that the precise impact of these techniques in these scenarios depends heavily on the channel model (CM). We introduce the use of linear Finite Rate of Information (FRoI) signa… Show more

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Cited by 6 publications
(3 citation statements)
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“…The linear FroI channel model was introduced in [6]. The main characteristic of FRoI CMs is that they closely approximate stationary (BL) signals.…”
Section: Linear Finite Rate Of Innovation (Froi) Channel Models (Cm)mentioning
confidence: 99%
See 1 more Smart Citation
“…The linear FroI channel model was introduced in [6]. The main characteristic of FRoI CMs is that they closely approximate stationary (BL) signals.…”
Section: Linear Finite Rate Of Innovation (Froi) Channel Models (Cm)mentioning
confidence: 99%
“…Using a sophisticated variation of the MAT scheme, [5] was able to propose an improved scheme for the case where the FB delay T f b is less than the channel coherence time T c (defined as the inverse of the Doppler bandwidth (BW)). We use FRoI channel models [6] and exploit their approximately stationary character to propose a simple IA scheme based on Foresighted Channel FB (FCFB) for the MIMO IC as was done in [7] for ZF in the MISO BC.…”
Section: Introductionmentioning
confidence: 99%
“…Later, the characterization of the delayed CSIT effects was extended to the case where the feedback delay is less than the channel coherence time, i.e., moderately-delayed CSIT regime [13]- [15], [19]- [22]. This regime is particularly interesting because, in practice, the feedback delay can be less than the channel coherence time depending on the user mobility.…”
Section: Introductionmentioning
confidence: 99%