학술논문

Constellations on the Sphere With Efficient Encoding-Decoding for Noncoherent Communications
Document Type
Periodical
Source
IEEE Transactions on Wireless Communications IEEE Trans. Wireless Commun. Wireless Communications, IEEE Transactions on. 23(3):1886-1898 Mar, 2024
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Symbols
Hypercubes
Manifolds
Wireless communication
Signal to noise ratio
Bit error rate
Receiving antennas
Noncoherent communications
Grassmannian constellations
SIMO channels
measure-preserving mapping
Language
ISSN
1536-1276
1558-2248
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.