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Quantifying the repeatability of wireless channels by quantized channel state information

Authors: Martin Lerch; Sebastian Caban; Erich Zöchmann; Markus Rupp;

Quantifying the repeatability of wireless channels by quantized channel state information

Abstract

Repeatability is the prerequisite for scientific evaluation of wireless measurements. However, in real-world scenarios, the channel always slightly changes with time as, for example, trees move in the wind. In this paper, we propose a methodology that uses quantized channel state information and a technique similar to non-substractive SNR-dithering to quantify the repeatablility of wireless channels. Thereby, we introduce a new metric that allows for a comparison of different setups and scenarios in terms of repeatability. In a measurement campaign, we compare (1) a directional link to (2) an outdoor to indoor urban scenario with a fixed receiver and (3) the same scenario with the receiver moving in a circle, thereby experiencing the same high speed channel again and again.

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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!
1
Average
Average
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