Designing Good Multi-Dimensional Constellations

Marko Beko; Rui Miguel Henriques Dias Morgado Dinis; DEE Group Author

doi:10.1109/WCL.2012.032312.120203

Designing Good Multi-Dimensional Constellations

Marko Beko, Rui Miguel Henriques Dias Morgado Dinis, DEE Group Author

Research output: Contribution to journal › Article › peer-review

64 Citations (Scopus)

Abstract

In this letter we consider the design of multi-dimensional compact constellations that minimize the average symbol energy for a given minimum Euclidian distance between constellation points. We formulate the constellation design as a non-convex quadratically constrained quadratic programming. We propose a simple and efficient optimization method, which offers good solutions for small to medium sized constellations.

Original language	Unknown
Pages (from-to)	221-224
Journal	IEEE Wireless Communications Letters
Volume	1
Issue number	3
DOIs	https://doi.org/10.1109/WCL.2012.032312.120203
Publication status	Published - 1 Jan 2012

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10.1109/WCL.2012.032312.120203

Cite this

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title = "Designing Good Multi-Dimensional Constellations",

abstract = "In this letter we consider the design of multi-dimensional compact constellations that minimize the average symbol energy for a given minimum Euclidian distance between constellation points. We formulate the constellation design as a non-convex quadratically constrained quadratic programming. We propose a simple and efficient optimization method, which offers good solutions for small to medium sized constellations.",

author = "Marko Beko and Dinis, {Rui Miguel Henriques Dias Morgado} and {DEE Group Author}",

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AU - Dinis, Rui Miguel Henriques Dias Morgado

AU - DEE Group Author

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N2 - In this letter we consider the design of multi-dimensional compact constellations that minimize the average symbol energy for a given minimum Euclidian distance between constellation points. We formulate the constellation design as a non-convex quadratically constrained quadratic programming. We propose a simple and efficient optimization method, which offers good solutions for small to medium sized constellations.

AB - In this letter we consider the design of multi-dimensional compact constellations that minimize the average symbol energy for a given minimum Euclidian distance between constellation points. We formulate the constellation design as a non-convex quadratically constrained quadratic programming. We propose a simple and efficient optimization method, which offers good solutions for small to medium sized constellations.

U2 - 10.1109/WCL.2012.032312.120203

DO - 10.1109/WCL.2012.032312.120203

M3 - Article

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EP - 224

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

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IS - 3

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