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Constellations on the Sphere With Efficient Encoding-Decoding for Noncoherent Communications
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DOI：10.1109/TWC.2023.3292935.png)
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Abstract
En 中文
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.
Keywords:
Symbols
Hypercubes
Manifolds
Wireless communication
Signal to noise ratio
Bit error rate
Receiving antennas
Noncoherent communications
Grassmannian constellations
SIMO channels
measure-preserving mapping
Journal
IF:
10.7
Papers:
1.3W
Citations:
5.3W