Hybrid Precoding Architecture for Massive Multiuser MIMO with Dissipation: Sub-Connected or Fully-Connected Structures?
Jingbo Du, Wei Xu, Hong Shen, Xiaodai Dong, Chunming Zhao

TL;DR
This paper compares sub-connected and fully-connected hybrid precoding structures in massive multiuser MIMO systems, considering hardware dissipation and quantization effects, and finds that sub-connected structures often outperform fully-connected ones under certain conditions.
Contribution
It introduces a realistic hardware model with dissipation into hybrid precoding analysis and demonstrates the advantages of channel correlation-based codebooks over traditional RVQ codebooks.
Findings
Sub-connected structures outperform fully-connected ones in low SNR scenarios.
Channel correlation-based codebooks outperform RVQ codebooks.
Increasing signal power mitigates quantization performance loss.
Abstract
In this paper, we study the hybrid precoding structures over limited feedback channels for massive multiuser multiple-input multiple-output (MIMO) systems. We focus on the system performance of hybrid precoding under a more realistic hardware network model, particularly, with inevitable dissipation. The effect of quantized analog and digital precoding is characterized. We investigate the spectral efficiencies of two typical hybrid precoding structures, i.e., the sub-connected structure and the fully-connected structure. It is revealed that increasing signal power can compensate the performance loss incurred by quantized analog precoding. In addition, by capturing the nature of the effective channels for hybrid processing, we employ a channel correlation-based codebook and demonstrate that the codebook shows a great advantage over the conventional random vector quantization (RVQ)…
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