Multi-Dimensional and Non-Uniform Constellation Optimization via the Special Orthogonal Group
classification
💻 cs.IT
math.IT
keywords
capacityconstellationnon-uniformconstellationsconstructiondimensionsassumptionsbenefits
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With the goal of optimizing the CM capacity of a finite constellation over a Rayleigh fading channel, we construct for all dimensions which are a power of 2 families of rotation matrices which optimize a certain objective function controlling the CM capacity. Our construction does not depend on any assumptions about the constellation, dimension, or signal-to-noise ratio. We confirm the benefits of our construction for uniform and non-uniform constellations at a large range of SNR values through numerous simulations. We show that in two and four dimensions one can obtain a further potential increase in CM capacity by jointly considering non-uniform and rotated constellations.
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