Constellations on the sphere with efficient encoding-decoding for noncoherent communications

Cuevas Fernández, Diego; Álvarez Vizoso, Javier; Beltrán Álvarez, Carlos; Santamaría Caballero, Luis Ignacio; Tucek, Vit; Peters, Gunnar

doi:10.1109/TWC.2023.3292935

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Identificadores

URI: https://hdl.handle.net/10902/32919

DOI: 10.1109/TWC.2023.3292935

ISSN: 1536-1276

Fecha

2024-03

Derechos

© 2023 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 Transactions on Wireless Communications, 2024, 23(3), 1886 - 1898

Editorial

Institute of Electrical and Electronics Engineers Inc.

Enlace a la publicación

https://doi.org/10.1109/TWC.2023.3292935

Palabras clave

Noncoherent communications

Grassmannian constellations

SIMO channels

Measure-preserving mapping

Resumen/Abstract

In this paper, we propose a new structured Grassmannian constellation for noncoherent communications over single-input multiple-output (SIMO) Rayleigh block-fading channels. The constellation, which we call Grass-Lattice, is based on a measure preserving mapping from the unit hypercube to the Grassmannian of lines. The constellation structure allows for onthe-fly symbol generation, low-complexity decoding, and simple bit-to-symbol Gray-like coding. Simulation results show that Grass-Lattice has symbol and bit error rate performance close to that of a numerically optimized unstructured constellation, and is more power efficient than other structured constellations proposed in the literature and a coherent pilot-based scheme.