Research Article
Hierarchical Codebook Design for Massive MIMO
@ARTICLE{10.4108/sis.2.4.e5, author={Xin Su and Shichao Yu and Jie Zeng and Yujun Kuang}, title={Hierarchical Codebook Design for Massive MIMO}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={2}, number={4}, publisher={ICST}, journal_a={SIS}, year={2015}, month={2}, keywords={Massive MIMO, Kerdock codebook, Fourier-based perturbation, adaptive selection}, doi={10.4108/sis.2.4.e5} }
- Xin Su
Shichao Yu
Jie Zeng
Yujun Kuang
Year: 2015
Hierarchical Codebook Design for Massive MIMO
SIS
ICST
DOI: 10.4108/sis.2.4.e5
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.
Copyright © 2015 Xin Su et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.