I. Atzeni and A. Tölli, "Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO," 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 371-375, doi: 10.1109/SPAWC51858.2021.9593215
Uplink data detection analysis of 1-Bit quantized massive MIMO
|Author:||Atzeni, Italo1; Tölli, Antti1|
1Centre for Wireless Communications, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202201101648
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-01-10
This paper presents an analytical framework for the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs). Considering the single-user case, we provide closed-form expressions of the expected value and the variance of the estimated symbols when maximum ratio combining is adopted at the base station (BS) along with their asymptotic behavior at high signal-to-noise ratio (SNR). These results are exploited to enhance the performance of maximum likelihood detection by taking into account the dispersion of the estimated symbols about their expected values. The symbol error rate with 1-bit ADCs is evaluated with respect to the number of BS antennas, the SNR, and the pilot length used for the channel estimation. The proposed analysis highlights a fundamental SNR trade-off, according to which operating at the right SNR considerably improves the data detection accuracy.
IEEE International Workshop on Signal Processing Advances in Wireless Communications
|Pages:||371 - 375|
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
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
The work of I. Atzeni was supported by the Marie Skłodowska-Curie Actions (MSCA-IF 897938 DELIGHT). The work of A. Tölli was supported by the Academy of Finland under grant no. 318927 (6Genesis Flagship).
|EU Grant Number:||
(897938) DELIGHT - Device-Centric Low-Complexity High-Frequency Networks
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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