@inproceedings{3af01fbd44ac4893941ad123d18af49f,
title = "Bayesian tree search for beamforming training in millimeter wave wireless communication systems",
abstract = "In this paper, we propose novel algorithms of beam-forming training for millimeter wave wireless communication systems. Instead of searching the whole codebook organized as a binary tree, we propose using Bayesian tree search algorithms to reduce the average delay of beamforming training. In addition, we design algorithms that derive an optimal threshold for the proposed opportunistic one-threshold tree search algorithm and an optimal pair of thresholds for the proposed opportunistic two-threshold tree search algorithm. Furthermore, we propose using quantization to efficiently calculate the likelihood ratio in the proposed opportunistic tree search algorithms. Our simulation results show that the proposed algorithms could significantly reduce the average delay of beamforming training.",
keywords = "Beam-forming training, Millimeter wave wireless communication, Statistical detection theory, Tree search",
author = "Chen, {Wei Chen} and Chiu, {Hsiao Ting} and Rung-Hung Gau",
year = "2018",
month = jun,
day = "8",
doi = "10.1109/WCNC.2018.8376953",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2018 IEEE Wireless Communications and Networking Conference, WCNC 2018",
address = "United States",
note = "2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 ; Conference date: 15-04-2018 Through 18-04-2018",
}