Four-Dimension Cross Constellations with Gray Mapping
Liangping Ma, Hae Chung, and Byung K Yi

TL;DR
This paper introduces a new 4D cross constellation with Gray mapping that effectively reduces PAPR and improves error performance compared to existing schemes.
Contribution
It proposes a novel bits-to-signal Gray mapping for 4D cross constellations, enhancing PAPR reduction and error performance.
Findings
Effective PAPR reduction demonstrated through simulations
Better error performance than existing 4D modulation schemes
Gray mapping proven for the proposed 4D constellation
Abstract
Recently a four-dimension (4D) cross constellation has been proposed, where a 4D-vector is drawn from two -ary QAM constellations, in an effort to reduce the peak-to-average-power ratio (PAPR). We construct a bits-to-signal mapping and prove that it is a Gray mapping. Simulation results show that the proposed modulation scheme is effective in reducing the PAPR while providing better error performance than existing 4D modulation schemes.
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Taxonomy
TopicsOptics and Image Analysis · Satellite Image Processing and Photogrammetry · Historical Geography and Cartography
