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Cyclic Interference Alignment by propagation delay

Authors: Henning Maier; Johannes Schmitz; Rudolf Mathar;

Cyclic Interference Alignment by propagation delay

Abstract

In the present paper, Interference Alignment by propagation delay is applied to a delay-based X-channel and a delay-based K- user interference channel. The key ingredient in our approach is the cyclic permutation property of the delay-based channel model that uses cyclic right-shifts in polynomials. Based on this cyclic channel model, we derive necessary conditions on the propagation delay matrix between users and provide Cyclic Interference Alignment schemes achieving the upper bounds on X — networks as given by Cadambe et al. By further assuming that the propagation delays are proportional to the Euclidean distances, a delay matrix with integer-valued propagation delays can be derived. It enables us to investigate the placement of user-nodes in Euclidean space such that Cyclic Interference Alignment is achieved in two dimensions.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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%
Average
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