<p>In this paper we propose a framework to design downlink (DL) precoders with low computational complexity (CC) that are capable of providing user equipment (UEs) with high spectral efficiency (SE) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems. In our proposed framework, we introduce an independent precoding sub-units configuration (IPSUC) for the central processor (CP), wherein the precoding task is divided into several independent precoding sub-units (PSUs). Each PSU designs precoders for a subset of access points (APs) based on the information those APs share with that PSU. We analyze the SE of a CF-mMIMO system under IPSUC, derive upper and lower bounds for the achievable SE, and establish a relationship between SE and the number of PSUs. We also compare the CC of minimum mean square error (MMSE) precoders for IPSUC with that of its equivalent centralized counterpart (ECC). Numerical results demonstrate that, by employing the optimal number of PSUs, the IPSUC outperforms its ECC due to its superiority in designing MMSE precoders with significantly lower CC that are capable of providing UEs with nearly the same SE, especially in real-world scenarios with imperfect CSI.</p>

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CF-mMIMO Performance Analysis Under Central Processor Configuration Using Independent Precoding Sub-Units

  • Reza Roshanghias,
  • Reza Saadat,
  • Saeed Gazor

摘要

In this paper we propose a framework to design downlink (DL) precoders with low computational complexity (CC) that are capable of providing user equipment (UEs) with high spectral efficiency (SE) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems. In our proposed framework, we introduce an independent precoding sub-units configuration (IPSUC) for the central processor (CP), wherein the precoding task is divided into several independent precoding sub-units (PSUs). Each PSU designs precoders for a subset of access points (APs) based on the information those APs share with that PSU. We analyze the SE of a CF-mMIMO system under IPSUC, derive upper and lower bounds for the achievable SE, and establish a relationship between SE and the number of PSUs. We also compare the CC of minimum mean square error (MMSE) precoders for IPSUC with that of its equivalent centralized counterpart (ECC). Numerical results demonstrate that, by employing the optimal number of PSUs, the IPSUC outperforms its ECC due to its superiority in designing MMSE precoders with significantly lower CC that are capable of providing UEs with nearly the same SE, especially in real-world scenarios with imperfect CSI.