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We consider a cell-free massive multiple-input multiple-output (CF mMIMO) network, where a large number of access points (APs) are distributed in a coverage area to serve all user equipment (UE) concurrently with uniform data rate and uniform quality of service. CF mMIMO with a millimeter wave (mmWave) provides a high data rate to the UEs due to its high bandwidth availability. Managing and optimizing the signal sent from multiple APs to multiple UEs requires a precoder. In this work, we propose a phase extraction alternating minimization (PE-Altmin) hybrid precoder for the CF mMIMO network and compare its performance with the orthogonal matching pursuit (OMP) and semidefinite relaxation based AltMin (SDR-Altmin) precoding algorithms by using the Deep MIMO channel in the simulation section.

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Alternating Minimization Based Hybrid Precoder for Cell-Free Massive MIMO Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Santosh Kumar Singh,
  • Abhay Kumar Sah

摘要

We consider a cell-free massive multiple-input multiple-output (CF mMIMO) network, where a large number of access points (APs) are distributed in a coverage area to serve all user equipment (UE) concurrently with uniform data rate and uniform quality of service. CF mMIMO with a millimeter wave (mmWave) provides a high data rate to the UEs due to its high bandwidth availability. Managing and optimizing the signal sent from multiple APs to multiple UEs requires a precoder. In this work, we propose a phase extraction alternating minimization (PE-Altmin) hybrid precoder for the CF mMIMO network and compare its performance with the orthogonal matching pursuit (OMP) and semidefinite relaxation based AltMin (SDR-Altmin) precoding algorithms by using the Deep MIMO channel in the simulation section.