A Codebook Design for FD-MIMO Systems With Multi-Panel Array

Zhilin Fu, Sangwon Hwang, Jihwan Moon, Haibao Ren, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this work, we study codebook designs for full-dimension multiple-input multiple-output (FD-MIMO) systems with a multi-panel array (MPA). We propose novel codebooks which allow precise beam structures for MPA FD-MIMO systems by investigating the physical properties and alignments of the panels. We specifically exploit the characteristic that a group of antennas in a vertical direction exhibit more correlation than those in a horizontal direction. This enables an economical use of feedback bits while constructing finer beams compared to conventional codebooks. The codebook is further improved by dynamically allocating the feedback bits on multiple parts such as beam amplitude and co-phasing coefficients using reinforcement learning. The numerical results confirm the effectiveness of the proposed approach in terms of both performance and computational complexity.

Original languageEnglish
Pages (from-to)13366-13371
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume71
Issue number12
DOIs
Publication statusPublished - 2022 Dec 1

Keywords

  • Full-dimension MIMO
  • codebook design
  • limited feedback
  • reinforcement learning

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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