ICASSP 2018accepted0 citations
Performance of Interleaved Training for Single-User Hybrid Massive Antenna Downlink
Cheng Zhang, Yindi Jing, Yongming Huang, Luxi Yang
Abstract
In this paper, we study the beam-based training design for the single-user (SU) hybrid massive antenna system based on outage probability performance. First, an interleaved training design is proposed where the feedback is concatenated with the training procedure to monitor the training status and to have the training length adaptive to the channel realization. Then, the average training length and outage probability are derived for the proposed interleaved training and SU transmission. Analytical results and simulations show that the proposed interleaved scheme achieves the same outage performance as the traditional full-training scheme but with significant saving in the training overhead.
BibTeX
@inproceedings{icassp2018_performanceofint,
title = {Performance of Interleaved Training for Single-User Hybrid Massive Antenna Downlink},
author = {Cheng Zhang and Yindi Jing and Yongming Huang and Luxi Yang},
booktitle = {ICASSP 2018},
year = {2018}
}