Constellations on the Sphere With Efficient Encoding-Decoding for Noncoherent Communications

Diego Cuevas, Javier Álvarez-Vizoso, Carlos Beltrán, Ignacio Santamaría, Vít Tucek, Gunnar Peters

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 on-the-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.