Performance Analysis and Parameter Optimization of Regularized Zero-Forcing in MIMO Broadcast Channels with One-Bit ADCs

Dogyu Lim, Moonsik Min

Research output: Contribution to journalArticlepeer-review

Abstract

Regularized zero-forcing (RZF) has been a cornerstone in wireless communications due to its near-optimal performance and low-complexity design. Despite extensive research on RZF, its capacity with one-bit analog-to-digital converters (ADCs) remains unexplored. This letter addresses this gap by deriving the achievable performance of RZF in MIMO broadcast channels with one-bit ADCs and optimizing the corresponding parameters. Our findings include the derivation of RZF capacity under a reasonable restriction on input distributions imposed by the properties of one-bit ADCs, and an approximation method for the optimal regularizing parameter, ensuring near-optimal performance across varying system configurations. These results extend the applicability of RZF to modern communication systems utilizing low-resolution ADCs.

Original languageEnglish
Pages (from-to)3568-3572
Number of pages5
JournalIEEE Wireless Communications Letters
Volume13
Issue number12
DOIs
StatePublished - 2024

Keywords

  • channel capacity
  • Multiple-input and multiple-output channel
  • one-bit analog-to-digital converter
  • regularized zero forcing
  • regularizing parameter

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