Deep Learning based Beam Selection for Wide Beam Sweeping System

Seongyeop Joung; Chanuk Jeong; Sooyong Choi

doi:10.1109/ICEIC54506.2022.9748191

Deep Learning based Beam Selection for Wide Beam Sweeping System

Seongyeop Joung, Chanuk Jeong, Sooyong Choi

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In massive MIMO systems, a large number of beam pairs should be tested during a beam sweeping process, which causes large overhead and latency. We study how to reduce the number of the beam pairs without the performance degradation of deep neural network based scheme and the additional feedback of hierarchical beam sweeping process. We perform the wide beam sweeping process using the smaller number of beams with the smaller number of antennas. The DNN using the received signals from the wide beam sweeping process selects a beam among the original beam candidates. The simulation results show that the DNN using the wide beam sweeping process with the reduced overhead and latency has the better performances than the conventional DNN based beam selection methods and the similar performances to the exhaustive search method in terms of the beam accuracy and throughput.

Original language	English
Title of host publication	2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665409346
DOIs	https://doi.org/10.1109/ICEIC54506.2022.9748191
Publication status	Published - 2022
Event	2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 - Jeju, Korea, Republic of Duration: 2022 Feb 6 → 2022 Feb 9

Publication series

Name	2022 International Conference on Electronics, Information, and Communication, ICEIC 2022

Conference

Conference	2022 International Conference on Electronics, Information, and Communication, ICEIC 2022
Country/Territory	Korea, Republic of
City	Jeju
Period	22/2/6 → 22/2/9

Bibliographical note

Funding Information:
This work was supported by Institute of Information and communications Technology Planning and Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00976, development of next-generation wireless modem technology (Post-OFDM)) and by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017-R1A2B3006025).

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/ICEIC54506.2022.9748191

Cite this

Joung, S., Jeong, C., & Choi, S. (2022). Deep Learning based Beam Selection for Wide Beam Sweeping System. In 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 (2022 International Conference on Electronics, Information, and Communication, ICEIC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEIC54506.2022.9748191

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title = "Deep Learning based Beam Selection for Wide Beam Sweeping System",

abstract = "In massive MIMO systems, a large number of beam pairs should be tested during a beam sweeping process, which causes large overhead and latency. We study how to reduce the number of the beam pairs without the performance degradation of deep neural network based scheme and the additional feedback of hierarchical beam sweeping process. We perform the wide beam sweeping process using the smaller number of beams with the smaller number of antennas. The DNN using the received signals from the wide beam sweeping process selects a beam among the original beam candidates. The simulation results show that the DNN using the wide beam sweeping process with the reduced overhead and latency has the better performances than the conventional DNN based beam selection methods and the similar performances to the exhaustive search method in terms of the beam accuracy and throughput.",

author = "Seongyeop Joung and Chanuk Jeong and Sooyong Choi",

note = "Funding Information: This work was supported by Institute of Information and communications Technology Planning and Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00976, development of next-generation wireless modem technology (Post-OFDM)) and by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017-R1A2B3006025). Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022 ; Conference date: 06-02-2022 Through 09-02-2022",

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Joung, S, Jeong, C & Choi, S 2022, Deep Learning based Beam Selection for Wide Beam Sweeping System. in 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022. 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022, Jeju, Korea, Republic of, 22/2/6. https://doi.org/10.1109/ICEIC54506.2022.9748191

Deep Learning based Beam Selection for Wide Beam Sweeping System. / Joung, Seongyeop; Jeong, Chanuk; Choi, Sooyong.

2022 International Conference on Electronics, Information, and Communication, ICEIC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Electronics, Information, and Communication, ICEIC 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Jeong, Chanuk

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N1 - Funding Information: This work was supported by Institute of Information and communications Technology Planning and Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00976, development of next-generation wireless modem technology (Post-OFDM)) and by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017-R1A2B3006025). Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - In massive MIMO systems, a large number of beam pairs should be tested during a beam sweeping process, which causes large overhead and latency. We study how to reduce the number of the beam pairs without the performance degradation of deep neural network based scheme and the additional feedback of hierarchical beam sweeping process. We perform the wide beam sweeping process using the smaller number of beams with the smaller number of antennas. The DNN using the received signals from the wide beam sweeping process selects a beam among the original beam candidates. The simulation results show that the DNN using the wide beam sweeping process with the reduced overhead and latency has the better performances than the conventional DNN based beam selection methods and the similar performances to the exhaustive search method in terms of the beam accuracy and throughput.

AB - In massive MIMO systems, a large number of beam pairs should be tested during a beam sweeping process, which causes large overhead and latency. We study how to reduce the number of the beam pairs without the performance degradation of deep neural network based scheme and the additional feedback of hierarchical beam sweeping process. We perform the wide beam sweeping process using the smaller number of beams with the smaller number of antennas. The DNN using the received signals from the wide beam sweeping process selects a beam among the original beam candidates. The simulation results show that the DNN using the wide beam sweeping process with the reduced overhead and latency has the better performances than the conventional DNN based beam selection methods and the similar performances to the exhaustive search method in terms of the beam accuracy and throughput.

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Joung S, Jeong C, Choi S. Deep Learning based Beam Selection for Wide Beam Sweeping System. In 2022 International Conference on Electronics, Information, and Communication, ICEIC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 International Conference on Electronics, Information, and Communication, ICEIC 2022). doi: 10.1109/ICEIC54506.2022.9748191

Deep Learning based Beam Selection for Wide Beam Sweeping System

Abstract

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