Soft-Output Detection Methods for Sparse Millimeter-Wave MIMO Systems With Low-Precision ADCs
SCIE
SCOPUS
- Title
- Soft-Output Detection Methods for Sparse Millimeter-Wave MIMO Systems With Low-Precision ADCs
- Authors
- JEON, YOSEB; DO, HEEDONG; HONG, SONGNAM; LEE, NAMYOON
- Date Issued
- 2019-04
- Publisher
- IEEE
- Abstract
- In this paper, we propose computationally efficient yet near-optimal soft-output detection methods for coded millimeter-wave (mm Wave) multiple-input-multiple-output (MIMO) systems with low-precision analog-to-digital converters (ADCs). The underlying idea of the proposed methods is to construct an extremely sparse inter-symbol-interference channel model by jointly exploiting the delay-domain sparsity in mm Wave channels and a high quantization noise caused by low-precision ADCs. Then, we harness this sparse channel model to create a trellis diagram with a reduced number of states and a factor graph with very sparse edge connections, which are used for the computationally efficient soft-output detection methods. Using the reduced trellis diagram, we present a soft-output detection method that computes the log-likelihood ratios (LLRs) of coded bits by optimally combining the quantized received signals obtained from multiple receive antennas using a forward-and-backward algorithm. To reduce the computational complexity further, we also present a low-complexity detection method using the sparse factor graph to compute the LLRs in an iterative fashion based on a belief propagation algorithm. Simulations results demonstrate that the proposed soft-output detection methods provide significant frame-error-rates gains compared with the existing frequency-domain equalization techniques in a coded mmWave MIMO system using one-or two-bit ADCs.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/98917
- DOI
- 10.1109/TCOMM.2019.2892048
- ISSN
- 0090-6778
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 67, no. 4, page. 2822 - 2836, 2019-04
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