University of Oulu

D. Abdelhameed, K. Umebayashi, A. Al-Tahmeesschi, I. Atzeni and A. Tölli, "Enhanced Signal Detection for Massive SIMO Communications with 1-Bit ADCs," 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 66-70, doi: 10.1109/SPAWC51858.2021.9593128

Enhanced signal detection for massive SIMO communications with 1-Bit ADCs

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Author: Abdelhameed, Doaa1,2; Umebayashi, Kenta1; Al-Tahmeesschi, Ahmed1;
Organizations: 1Graduate School of Engineering, Tokyo University of Agriculture and Technology, Japan
2Dept. of Electrical Engineering, Aswan University, Egypt
3Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2022-01-04


This paper considers a massive single-input single-output (SIMO) system with 1-bit analog-to-digital converters (ADCs) at the base station (BS). In this context, the stochastic resonance phenomenon can be exploited together with the massive number of antennas to enable the symbol detection. In this regard, we investigate the statistics of the estimated symbols when maximum ratio combining (MRC) is adopted at the BS. In addition, assuming 16 quadrature amplitude modulation (16-QAM), we propose three different symbol detectors that are designed based on the mean and variance of the MRC outputs. Through numerical evaluations, we show that the proposed symbol detectors can significantly enhance the symbol error rate performance of massive SIMO systems with 1-bit ADCs.

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Series: IEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN: 2325-3789
ISSN-L: 2325-3789
ISBN: 978-1-6654-2851-4
ISBN Print: 978-1-6654-2852-1
Pages: 66 - 70
DOI: 10.1109/SPAWC51858.2021.9593128
Host publication: 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Conference: IEEE Workshop on Signal Processing Advances in Wireless Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The work of D. Abdelhameed was supported by the Ministry of Higher Education of the Arab Republic of Egypt. The work of K. Umebayashi was supported by the European Commission in the framework of the H2020-EUJ-02-2018 project 5GEnhance (Grant agreement no. 815056), by “Strategic Information and Communications R&D Promotion Programme (SCOPE)” of Ministry of Internal Affairs and Communications (MIC) of Japan (Grant no. JPJ000595), the JSPS KAKENHI Grant Numbers JP18K04124 and JP18KK0109, Institute of Global Innovation Research in TUAT. The work of I. Atzeni was supported by the Marie Skłodowska-Curie Actions (MSCAIF 897938 DELIGHT). The work of A. Tölli was supported by the Academy of Finland under grant no. 318927 (6Genesis Flagship).
EU Grant Number: (815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
(897938) DELIGHT - Device-Centric Low-Complexity High-Frequency Networks
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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