NDLI: Cyclic interference alignment and cancellation in 3-user X- networks with minimal backhaul

Content Provider	IEEE Xplore Digital Library
Author	Maier, H. Mathar, R.
Copyright Year	2014
Description	Author affiliation: Inst. for Theor. Inf. Technol., RWTH Aachen Univ., Aachen, Germany (Maier, H.; Mathar, R.)
Abstract	We consider the problem of cyclic interference alignment (IA) on the 3 - user X- network and show that it is infeasible to exactly achieve the upper bound of equation degrees of freedom for the lower bound of n = 5 signalling dimensions and K = 3 user-pairs. We observe that this infeasibility goes beyond the problem of common eigenvectors in invariant subspaces within spatial IA. In order to gain non-asymptotic feasibility with minimal intervention, we first investigate a communication strategy that enables IA by feedforwarding a subset of messages with minimal rate. In a second step, we replace the proposed feedforward strategy by an analogous cyclic interference alignment and cancellation scheme with a backhaul network on the receiver side and also by its dual cyclic interference neutralization scheme with a backhaul network on the transmitter side.
Starting Page	87
Ending Page	91
File Size	543693
Page Count	5
File Format	PDF
ISBN	9781479959990
ISSN	16629019
DOI	10.1109/ITW.2014.6970798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Upper bound Transmitters Receivers Polynomials Interference channels Feedforward neural networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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