NDLI: Widely linear Interference Alignment precoding

Content Provider	IEEE Xplore Digital Library
Author	Medra, A. Davidson, T.N.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada (Medra, A.; Davidson, T.N.)
Abstract	Interference Alignment is an intriguing approach to the development of interference management schemes for wireless networks. Even for networks of single antenna nodes with time-invariant channels, several approaches to interference alignment have been proposed. Those schemes construct transmitted signals that are not circularly symmetric by using symbols from real-valued constellations. In this paper we develop an alternative scheme that employs widely linear precoding of symbols from conventional complex-valued constellations at the transmitters, and a periodic conjugation operation at the receivers. Like the existing schemes, the proposed scheme achieves the degrees of freedom of the channel, and it adds the convenience of enabling the use of conventional constellations. To tackle the difficult problem of optimizing the sum rate under the interference alignment constraint, we develop an efficient algorithm on the Grassmannian manifold, and we demonstrate that this algorithm can reduce the power offset and hence provide significant increases in the sum rate at low to moderate SNRs.
Starting Page	464
Ending Page	468
File Size	593583
Page Count	5
File Format	PDF
ISBN	9781479949038
DOI	10.1109/SPAWC.2014.6941886
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Receivers Signal processing algorithms Signal to noise ratio Algorithm design and analysis Optimization Transmitters X-channel interference alignment degrees of freedom power offset Max-SINR widely linear precoding
Content Type	Text
Resource Type	Article

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