Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments

V. Semaganga Frank, Battulga Davaasambu, Takuro Sato

    研究成果: Conference contribution

    抄録

    The Large Scale Antenna System is expected to bring significant improvements to overall Communication System Performance. However the use of so many antennas in Massive Multiple Inputs Multiple Outputs (Massive MIMO) architectures highlights the cost implication of the technology. It is therefore possible that Massive MIMO may be deployed using low cost equipment to avoid HUGE implementation costs. The use of Low Cost Equipment will results into significant Radio Frequency Impairments (RF-Impairments) such as Phase Noise, IQ Imbalance and Nonlinearities, which will affect the overall system performance. Among other aspects channel estimations will also be affected since the signal used for these estimations will be affected by the RF-Impairments. This paper analyzes a way to exploit correlation during Minimum Mean Square Error (MMSE) Channel Estimation of a Massive MIMO System in presence of aggregated RF-Impairments (i.e. combined effects of the impairments). Specifically it derived the statistical distribution of the equivalent aggregated error/noise term using statistical identities and uses the derived term to obtain temporal channel estimation error and consequently the correlation matrix necessary to minimizes the channel Mean Square Error (MSE) of the channel estimate.

    元の言語English
    ホスト出版物のタイトルProceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ324-328
    ページ数5
    ISBN(印刷物)9781467381253
    DOI
    出版物ステータスPublished - 2016 1 19
    イベントIEEE International Conference on Computer and Communications, ICCC 2015 - Chengdu, China
    継続期間: 2015 10 102015 10 11

    Other

    OtherIEEE International Conference on Computer and Communications, ICCC 2015
    China
    Chengdu
    期間15/10/1015/10/11

    Fingerprint

    Channel estimation
    MIMO systems
    Mean square error
    Costs
    Antennas
    Phase noise
    Communication systems

    ASJC Scopus subject areas

    • Computer Networks and Communications

    これを引用

    Frank, V. S., Davaasambu, B., & Sato, T. (2016). Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments. : Proceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015 (pp. 324-328). [7387590] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CompComm.2015.7387590

    Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments. / Frank, V. Semaganga; Davaasambu, Battulga; Sato, Takuro.

    Proceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 324-328 7387590.

    研究成果: Conference contribution

    Frank, VS, Davaasambu, B & Sato, T 2016, Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments. : Proceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015., 7387590, Institute of Electrical and Electronics Engineers Inc., pp. 324-328, IEEE International Conference on Computer and Communications, ICCC 2015, Chengdu, China, 15/10/10. https://doi.org/10.1109/CompComm.2015.7387590
    Frank VS, Davaasambu B, Sato T. Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments. : Proceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 324-328. 7387590 https://doi.org/10.1109/CompComm.2015.7387590
    Frank, V. Semaganga ; Davaasambu, Battulga ; Sato, Takuro. / Exploiting correlation for MMSE channel estimation in massive MIMO systems with RF-impairments. Proceedings of 2015 IEEE International Conference on Computer and Communications, ICCC 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 324-328
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