4.6 Article

Multiuser Equalizer for Hybrid Massive MIMO mmWave CE-OFDM Systems

期刊

APPLIED SCIENCES-BASEL
卷 9, 期 16, 页码 -

出版社

MDPI
DOI: 10.3390/app9163363

关键词

CE-OFDM; hybrid analog; digital architectures; massive MIMO; mmWave communications; nonlinear equalizer

资金

  1. European Regional Development Fund (FEDER) through the Competitiveness and Internationalization Operational Program (COMPETE 2020) of the Portugal 2020 framework, Regional OP Centro (CENTRO 2020), Regional OP Lisboa [LISBOA 14-20]
  2. FCT/MEC through national funds [02/SAICT/2017, UID/EEA/50008/2019]
  3. FCT [SFRH/BD/129395/2017]
  4. Fundação para a Ciência e a Tecnologia [SFRH/BD/129395/2017] Funding Source: FCT

向作者/读者索取更多资源

This paper considers a multiuser broadband uplink massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. The constant envelope orthogonal frequency division multiplexing (CE-OFDM) is adopted as a modulation technique to allow an efficient power amplification, fundamental for mmWave based systems. Furthermore, a hybrid architecture is considered at the user terminals (UTs) and base station (BS) to reduce the high cost and power consumption required by a full-digital architecture, which has a radio frequency (RF) chain per antenna. Both the design of the UT's precoder and base station equalizer are considered in this work. With the aim of maximizing the beamforming gain between each UT and the BS, the precoder analog coefficients are computed as a function of the average angles of departure (AoD), which are assumed to be known at the UTs. At the BS, the analog part is derived by assuming a system with no multi-user interference. Then, a per carrier basis nonlinear/iterative multi-user equalizer, based on the iterative block decision feedback equalization (IB-DFE) principle is designed, to explicitly remove both the multi-user and residual inter carrier interferences, not tackled in the analog part. The equalizer design metric is the sum of the mean square error (MSE) of all subcarriers, whose minimization is shown to be equivalent to the minimization of a weighted error between the hybrid and the full digital equalizer matrices. The results show that the proposed hybrid multi-user equalizer has a performance close to the fully digital counterpart.

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