An Efficient Soft Output MIMO Detector Architecture Considering High-order Modulations

In this paper, we investigate soft-output K-best and fixed-complexity sphere decoder (FSD) detectors for multiple-input multiple-output (MIMO) systems, where high-order mod-ulations are considered. When using the conventional parallel candidate adding aided (PCA-aided) soft-output algorithm, the FSD...

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Bibliographic Details
Main Authors: Dai, Ya-Xin, Jhang, Shih-Jie, Chen, Yen-Ming, Lan, Sheng-Ping, Ueng, Yeong-Luh
Format: Conference Proceeding
Language:English
Subjects:
Bit error rate
Complexity theory
Computer architecture
Detectors
error propagation
fixed-complexity sphere decoder (FSD)
K-best detector
low-complexity design
Maximum likelihood detection
MIMO
Modulation
Multiple-input multiple-output (MIMO) de-tector
soft-output
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Summary:In this paper, we investigate soft-output K-best and fixed-complexity sphere decoder (FSD) detectors for multiple-input multiple-output (MIMO) systems, where high-order mod-ulations are considered. When using the conventional parallel candidate adding aided (PCA-aided) soft-output algorithm, the FSD and K-Best detectors provide similar bit error rate (BER) performances. In contrast, when using the proposed candidate-list-aided soft-output algorithm, the FSD detector outperforms the K-best detector and delivers a near-ML (maximum likelihood) performance. Therefore, a soft-output FSD detector architecture, which guarantees a feasible implementation complexity level, is devised for the MIMO system which consider large-scale antennas and modulation orders. Compared to the works reported in liter-ature, the proposed detector is able to provide a notably enhanced error performance with feasible implementation complexity.
ISSN:2576-2303
DOI:10.1109/IEEECONF56349.2022.10051955