Variance Estimation of Likelihood Probability for MIMO Systems Using One-Bit ADCs 


Vol. 45,  No. 7, pp. 1190-1193, Jul.  2020
10.7840/kics.2020.45.7.1190


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  Abstract

This paper considers a reinforcement-learning-aided detector(RLD) in multiple-input multiple-output (MIMO) systems using one-bit analog-to-digital converters(ADCs). The RLD learns the likelihood probability by determining whether the input-output samples of data are exploited or not to develop the likelihood probability. In its determination, the variance of the likelihood probability is required to calculate the optimal policy. For this, a lower bound of variance for the likelihood probability is derived in this letter. First, the channel error model is derived in MIMO systems using one-bit ADCs. Then, the lower bound of variance for the likelihood probability is derived by averaging over these errors. Simulations results show that the proposed method provides similar performance to the conventional method with lower overhead.

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  Cite this article

[IEEE Style]

T. Kim, "Variance Estimation of Likelihood Probability for MIMO Systems Using One-Bit ADCs," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1190-1193, 2020. DOI: 10.7840/kics.2020.45.7.1190.

[ACM Style]

Tae-Kyoung Kim. 2020. Variance Estimation of Likelihood Probability for MIMO Systems Using One-Bit ADCs. The Journal of Korean Institute of Communications and Information Sciences, 45, 7, (2020), 1190-1193. DOI: 10.7840/kics.2020.45.7.1190.

[KICS Style]

Tae-Kyoung Kim, "Variance Estimation of Likelihood Probability for MIMO Systems Using One-Bit ADCs," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 7, pp. 1190-1193, 7. 2020. (https://doi.org/10.7840/kics.2020.45.7.1190)

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pISSN : 1226 - 4717
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