journal article·2017-11-23Open access

Low-Complexity QRD-M with Path Eliminations in MIMO-OFDM Systems

Jae-Hyun Ro, Jong-Kwang Kim, Young-Hwan You, Hyoung-Kyu Song

Applied Sciences· Volume 7· Issue 12

Abstract

The QR decomposition-M algorithm (QRD-M) is a popular signal detector which has similar error performance with maximum likelihood (ML) in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. The QRD-M uses M candidates at each layer, unlike the ML. However, the complexity of the QRD-M is high in huge MIMO-OFDM systems due to unnecessary survival paths at each layer. In this paper, a low-complexity QRD-M with variable number of survival paths at each layer is proposed. In the conventional QRD-M, path eliminations at the previous layer reduce the number of calculations for accumulated squared Euclidean distance (ASED) in subsequent layers. The proposed QRD-M eliminates unnecessary survival paths by comparing the ASED and the calculated threshold at each layer. The simulation results show that the proposed QRD-M maintains the error performance for the conventional QRD-M and has a very low complexity.
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Research context

OpenAlex topics: Advanced Wireless Communication Techniques · Error Correcting Code Techniques · PAPR reduction in OFDM

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

uT Communication Research Institute, Sejong University, Seoul 05006, Gwangjin-gu, Gunja-dong 98, Korea

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