PROJECT TITLE :
On Capacity-Based Codebook Design and Advanced Decoding for Sparse Code Multiple Access Systems - 2018
Sparse code multiple access (SCMA) may be a promising non-orthogonal air-interface technology for its ability to support massive connections. During this Project, we tend to design the multiuser codebook and also the advanced decoding from the attitude of the theoretical capability and therefore the system feasibility. 1st, different from the lattice-based constellation in point-to-purpose channels, we propose a completely unique codebook for maximizing the constellation constrained capacity. We have a tendency to optimize a series of 1-D superimposed constellations to construct multi-dimensional codewords. An effective dimensional permutation switching algorithm is proposed to more obtain the capability gain. Consequently, it shows that the performance of the proposed codebook approaches the Shannon limit and achieves important gains over the opposite existing ones. Furthermore, we provide a image-primarily based extrinsic information transfer tool to analyze the convergence of SCMA iterative detection, where the advanced codewords are thought of in modeling the a priori probabilities instead of assuming the binary inputs in previous literature. Finally, to approach the capacity, we develop a low-density parity-check code-based SCMA receiver. Most importantly, by utilizing the EXIT charts, we have a tendency to propose an iterative joint detection and decoding theme with solely partial inner iterations, which exhibits significant performance gain over the traditional one with separate detection and decoding.
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