Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink

Riki Okawa, Yukitoshi Sanada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The sum rate performance of quantized precoding using Gibbs sampling is evaluated in a massive multiple-input multiple-output (MIMO) system in this paper. The massive MIMO is a promising technique to improve spectrum efficiency and energy efficiency. In a full digital massive MIMO system, however, the resolution of digital-to-analogue converters (DACs) in transmit antenna branches have to be low enough because of their power consumption. Therefore, quantized precoding or precoding with the low resolution DACs is investigated. A conventional optimization criterion minimizes errors between a desired received signal and a designed signal. However, the system sum rate may decrease as it increases transmit power. This paper proposes two optimization criteria that take not only the errors but also the transmit power into account to select the candidate quantized transmit signal in order to maximize the sum rate. Moreover, Gibbs sampling is applied to obtain the suboptimal solution of the optimization problem. Numerical results obtained through computer simulation show that the proposed sum rate based criterion for the optimization achieves the approximately 1.3 times higher sum rate than the conventional criterion on a Rician fading channel. On the other hand, the proposed symbol-power-to-mean-square-error ratio (SMSER) based criterion shows faster optimization convergence.

    Original languageEnglish
    Title of host publicationProceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728112046
    DOIs
    Publication statusPublished - 2019 Aug
    Event2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 - Singapore, Singapore
    Duration: 2019 Aug 282019 Aug 30

    Publication series

    NameProceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019

    Conference

    Conference2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
    CountrySingapore
    CitySingapore
    Period19/8/2819/8/30

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

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  • Cite this

    Okawa, R., & Sanada, Y. (2019). Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink. In Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 [8851590] (Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTS-APWCS.2019.8851590