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Communication Dans Un Congrès Année : 2018

Low-Complexity Lattice Reduction Demapper for Massive Order One-Dimensional Non-Uniform Constellations

Résumé

This paper presents a low-complexity demapping method for demodulating M-ary one-dimensional non-uniform constellations. For uniform constellations, there are several algorithms for searching the closest point to the received observation. However, for non-uniform constellations these techniques are not valid. We propose a novel technique based on dividing the non-uniform constellation into lattices of identical dimensions. The value of the received symbol is modified in order to provide an entry to a look-up table where the closest point is stored. This solution provides low complexity for demodulation of the in-phase and quadrature PAMs of the non-uniform constellation. The complexity is O(2+〖log〗_2⁡√M) while the exhaustive search is O(√M). The complexity implications in terms of memory and computations and the system performance are analyzed.
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Dates et versions

hal-01814195 , version 1 (17-02-2020)

Identifiants

Citer

Jon Barrueco Gutierrez, Jon Montalban, Pablo Angueira, Charbel Abdel Nour, Catherine Douillard. Low-Complexity Lattice Reduction Demapper for Massive Order One-Dimensional Non-Uniform Constellations. BMSB2018: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Jun 2018, Valencia, Spain. ⟨10.1109/BMSB.2018.8436872⟩. ⟨hal-01814195⟩
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