Multiuser Interference Suppression: A Generalized Nearest Neighbor Decoding Approach

The architecture of the proposed generalized nearest neighbor decoding (GNND) is investigated under quadrature phase shift keying (QPSK) and utilized for multiuser interference suppression. The GNND is capable of handling the non-Gaussian inter-stream interference effectively, for multiuser channels under QPSK input, while the conventional channel linearization (CL) approach generally fails. Adopting the information-theoretic tool of generalized mutual information (GMI) for measuring the achievable information rate, the optimal GNND in maximizing GMI is derived. A coded modulation scheme based upon GNND is further designed, via connected with the existing low-density parity-check decoders, without requiring iterations between demodulation and decoding. Numerical results show that the GNND significantly outperforms the CL approach in terms of the achievable code rate and the bit-error-rate.

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Published
2024-10-24
DOI
https://doi.org/10.1109/wcsp62071.2024.10827590
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiuser Interference Suppression: A Generalized Nearest Neighbor Decoding Approach

Wenyi Zhang, Shuqin Pang
Wireless Communication Networks Research
article

Multiuser Interference Suppression: A Generalized Nearest Neighbor Decoding Approach

Wenyi Zhang, Shuqin Pang
article en

Abstract

The architecture of the proposed generalized nearest neighbor decoding (GNND) is investigated under quadrature phase shift keying (QPSK) and utilized for multiuser interference suppression. The GNND is capable of handling the non-Gaussian inter-stream interference effectively, for multiuser channels under QPSK input, while the conventional channel linearization (CL) approach generally fails. Adopting the information-theoretic tool of generalized mutual information (GMI) for measuring the achievable information rate, the optimal GNND in maximizing GMI is derived. A coded modulation scheme based upon GNND is further designed, via connected with the existing low-density parity-check decoders, without requiring iterations between demodulation and decoding. Numerical results show that the GNND significantly outperforms the CL approach in terms of the achievable code rate and the bit-error-rate.

University of Science and Technology of China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 70%
Wireless Communication Networks Research
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Multiuser Interference Suppression: A Generalized Nearest Neighbor Decoding Approach — Wenyi Zhang, Shuqin Pang · (2024) | TGRS Research Map | TGRS