Structured multi-antenna Grassmannian constellations for noncoherent communications

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URI: https://hdl.handle.net/10902/35436
ISBN: 979-8-3503-4481-3
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Autoría
Cuevas Fernández, DiegoAutoridad Unican; Beltrán Álvarez, CarlosAutoridad Unican; Gutiérrez Navarro, Mikel; Santamaría Caballero, Luis IgnacioAutoridad Unican; Tucek, Vít
Fecha
2024
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publicado en
IEEE 13th Sensor Array and Multichannel Signal Processing Workshop (SAM), Corvalis, Oregon, USA, 41-45
Editorial
Institute of Electrical and Electronics Engineers, Inc.
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Palabras clave
Noncoherent communications
Grassmannian constellations
MIMO channels
Measure-preserving mapping
Resumen/Abstract
In this paper, we propose a new structured Grass-mannian constellation for noncoherent communications over multiple-input multiple-output (MIMO) Rayleigh block-fading channels with two transmit antennas. The constellation, which we call Grass-Lattice, is based on a measure preserving mapping from the unit hypercube to the Grassmann manifold. The constellation structure allows for on-the-fly symbol generation and low-complexity decoding. Simulation results show that Grass-Lattice offers a superior bit error rate performance than other structured Grassmannian constellations such as Exp-Map.
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