Research Article
Hierarchical Codebook Design for Massive MIMO
@INPROCEEDINGS{10.1109/ChinaCom.2013.6694587, author={xin su and shichao yu and jie zeng and yujun kuang and nayan fang and zejiao li}, title={Hierarchical Codebook Design for Massive MIMO}, proceedings={8th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2013}, month={11}, keywords={massive mimo kerdock codebook fourier-based perturbation adaptive selection}, doi={10.1109/ChinaCom.2013.6694587} }- xin su
shichao yu
jie zeng
yujun kuang
nayan fang
zejiao li
Year: 2013
Hierarchical Codebook Design for Massive MIMO
CHINACOM
IEEE
DOI: 10.1109/ChinaCom.2013.6694587
Abstract
The massive Multiple-Input Multiple-Output (MIMO) is an emerging research field, 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. In this paper, we propose a novel hierarchical codebook with the Fourier-based perturbation matrices as the subcodebook and the Kerdock codebook as the main codebook, which has reduced storage and search complexity due to finite alphabet. Moreover, to further reduce the search complexity and feedback overhead without noticeable performance degradation, we use an adaptive selection algorithm to decide when 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.