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Optimization of Non-Binary LDPC Coded Massive MIMO Systems With Partial Mapping and REP Detection
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DOI：10.1109/ACCESS.2022.3147273.png)
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Abstract
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In this work, a non-binary low density parity check (LDPC) coded high dimensional multiple input multiple output (MIMO) scheme with partial mapping for high order modulation is proposed. For the proposed scheme, when M-ary quadrature amplitude modulation (QAM) is employed, then non-binary LDPC code constructed over Galois field with order root M is used for partial mapping, where root M is an integer. At the receiver side, a real-valued expectation propagation (REP) based detection algorithm is used to couple with the non-binary decoder seamlessly. Meanwhile, the symbol-wise a-priori information returned by the non-binary decoder is used to aid the REP detection. Furthermore, a symbol-wise extrinsic information transfer (SEXIT) chart based iterative optimization algorithm is used to optimize the concatenated non-binary LDPC code. This work proposed to model the a-priori information of non-zero codes/symbols of detector/decoder as the output of a cyclic-symmetric additive white Gaussian noise (AWGN) channel and a simplified method based on interpolation is proposed to calculate the component-EXIT chart of the REP-detector for massive MIMO. The proposed method can facilitate the optimization and avoid a large amount of simulations. Both SEXIT chart based analysis and numerical simulation results demonstrate the validity of the above idea.
Keywords:
Decoding
Receivers
Complexity theory
Codes
Quadrature amplitude modulation
Optimization
Massive MIMO
Massive MIMO
partial mapping
non-binary LDPC
real-valued expectation propagation
iterative optimization
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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