This thesis proposes a coded modulation scheme to implement probabilistic shaping with arbitrary symbol distributions. The considered scheme is based on polar codes, a class of capacity-achieving, linear block codes with state-of-the-art finite-length performance and an explicit construction. The scheme is analysed from a theoretical standpoint as well as with numerical simulations. Furthermore, an extension to this scheme for state-dependent shaping is proposed, as well as an application to dirty paper coding. The effectiveness of this extension is shown in numerical simulations and its convergence properties are discussed.
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This thesis proposes a coded modulation scheme to implement probabilistic shaping with arbitrary symbol distributions. The considered scheme is based on polar codes, a class of capacity-achieving, linear block codes with state-of-the-art finite-length performance and an explicit construction. The scheme is analysed from a theoretical standpoint as well as with numerical simulations. Furthermore, an extension to this scheme for state-dependent shaping is proposed, as well as an application to dir...
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