Abstract
In this work we analyze and compare channel capacity for transmission schemes (for Quadrature Amplitude Modulation, QAM) with and without probabilistic shaping (so called statistical modulation). Probabilistic shaping is a transmission method, which implies a delivery of nonuniform data source using a modulation (e.g. QAM) in which constellation points are selected according to the probability of input symbols. The aim is to use the unequal probability distribution of data symbols to get the resulting modulation signals with least average power that leads to better performance in terms of BER-SNR and energy efficiency. The key idea of this work is to estimate maximum achievable gain in Channel Capacity of the proposed Shaping QAM. Although the studies in combined precoding/shaping technique were started by Fischer et al. in the distant 1995 and Frank R. Kschischang et al. in 1993 the exact estimations for capacity gain are obtained for the first time. The analytical results show the upper bound for the achievable gains.
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Sergeev, A., Shaniiazov, R. (2023). Analysis of the Capacity Gain of Probability Shaping QAM. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_53
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