Hierarchical Codebook Design for Massive MIMO

Xin Su, Shichao Yu, Jie Zeng, Yujun Kuang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The Research of Massive MIMO is an emerging area, since the more antennas the transmitters or receivers equipped with, the higher spectral efficiency and link reliability the system can provide. Due to the limited feedback channel, precoding and codebook design are important to exploit the performance of massive MIMO. To improve the precoding performance, we propose a novel hierarchical codebook with the Fourier-based perturbation matrices as the subcodebook and the Kerdock codebook as the main codebook, which could reduce storage and search complexity due to the finite a lphabet. Moreover, t o f urther r educe t he search complexity and feedback overhead without noticeable performance degradation, we use an adaptive selection algorithm to decide whether to use the subcodebook. Simulation results show that the proposed codebook has remarkable performance gain compared to the conventional Kerdock codebook, without significant increase in feedback overhead and search complexity.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalEAI Endorsed Transactions on Scalable Information Systems
Volume2
Issue number4
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Fourier-based perturbation
  • Kerdock codebook
  • Massive MIMO
  • adaptive selection

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Su, X., Yu, S., Zeng, J., & Kuang, Y. (2015). Hierarchical Codebook Design for Massive MIMO. EAI Endorsed Transactions on Scalable Information Systems, 2(4), 1-5. https://doi.org/10.4108/sis.2.4.e5