Practical Challenges of IA in Frequency

dc.contributor.author	Loch, Adrian
dc.contributor.author	Nitsche, Thomas
dc.contributor.author	Kuehne, Alexander
dc.contributor.author	Hollick, Matthias
dc.contributor.author	Widmer, Joerg
dc.contributor.author	Klein, Anja
dc.date.accessioned	2021-07-13T10:21:39Z
dc.date.available	2021-07-13T10:21:39Z
dc.date.issued	2013-12-03
dc.identifier.uri	http://hdl.handle.net/20.500.12761/1488
dc.description.abstract	Interference Alignment (IA) is a promising technique at the physical layer which allows to increase the Degree-of-Freedom (DOF) of a communication by aligning all interfering signals into the same dimension, while the desired signal lies unaffected in an orthogonal dimension. IA has been widely studied in theory, but only limited practical work exists, since it poses significant challenges for real-world deployments. In this report, we study issues which are key to enable IA in practice.
dc.language.iso	eng
dc.publisher	Technische Universität Darmstadt - Department of Computer Science - Secure Mobile Networking Lab
dc.title	Practical Challenges of IA in Frequency	en
dc.type	technical report
dc.type.hasVersion	VoR
dc.rights.accessRights	open access
dc.identifier.doi	Technical Report TR-SEEMOO-2013-01
dc.page.total	7
dc.description.status	pub
dc.eprint.id	http://eprints.networks.imdea.org/id/eprint/983