Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System

Jae Won Lee, Chung Gu Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The data-aided symbol-level precoding scheme has been known as a useful means of improving the system efficiency in multi-user multi-input single-output (MISO) system, especially with a full digital beamforming. As the number of antenna elements increases, it must be extended to hybrid beamforming with a limited number of radio frequency (RF) chains, while degrading its performance. In this paper, we provide a solution approach to the minimum mean-square estimation (MMSE)-based constructive interference optimization (CIO) problem for hybrid beamforming. As it has to resort to the local optimal solution with hybrid beamforming with a limited number of RF chains, its performance turns out to be much worse than that of full digital beamforming. However, its capacity has been shown to exceed that of the existing scheme, indicating that the data-aided symbol-level precoding would be still useful for a massive number of antenna elements in practice.

Original languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages510-513
Number of pages4
ISBN (Electronic)9781728113395
DOIs
Publication statusPublished - 2019 Jul 1
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2019 Jul 22019 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
CountryCroatia
CityZagreb
Period19/7/219/7/5

Fingerprint

Beamforming
Antennas

Keywords

  • constructive interference gain
  • constructive interference optimization (CIO)
  • data-aided precoding
  • hybrid beamforming
  • multi-user MISO system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Lee, J. W., & Kang, C. G. (2019). Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks (pp. 510-513). [8806174] (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2019.8806174

Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System. / Lee, Jae Won; Kang, Chung Gu.

ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. p. 510-513 8806174 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, JW & Kang, CG 2019, Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System. in ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks., 8806174, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2019-July, IEEE Computer Society, pp. 510-513, 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019, Zagreb, Croatia, 19/7/2. https://doi.org/10.1109/ICUFN.2019.8806174
Lee JW, Kang CG. Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2019. p. 510-513. 8806174. (International Conference on Ubiquitous and Future Networks, ICUFN). https://doi.org/10.1109/ICUFN.2019.8806174
Lee, Jae Won ; Kang, Chung Gu. / Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System. ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. pp. 510-513 (International Conference on Ubiquitous and Future Networks, ICUFN).
@inproceedings{7ece7861ed3442be8970629db17bb003,
title = "Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System",
abstract = "The data-aided symbol-level precoding scheme has been known as a useful means of improving the system efficiency in multi-user multi-input single-output (MISO) system, especially with a full digital beamforming. As the number of antenna elements increases, it must be extended to hybrid beamforming with a limited number of radio frequency (RF) chains, while degrading its performance. In this paper, we provide a solution approach to the minimum mean-square estimation (MMSE)-based constructive interference optimization (CIO) problem for hybrid beamforming. As it has to resort to the local optimal solution with hybrid beamforming with a limited number of RF chains, its performance turns out to be much worse than that of full digital beamforming. However, its capacity has been shown to exceed that of the existing scheme, indicating that the data-aided symbol-level precoding would be still useful for a massive number of antenna elements in practice.",
keywords = "constructive interference gain, constructive interference optimization (CIO), data-aided precoding, hybrid beamforming, multi-user MISO system",
author = "Lee, {Jae Won} and Kang, {Chung Gu}",
year = "2019",
month = "7",
day = "1",
doi = "10.1109/ICUFN.2019.8806174",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "510--513",
booktitle = "ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks",

}

TY - GEN

T1 - Constructive Interference Optimization for Hybrid Beamforming with Data-aided Symbol-level Precoding in Multi-user MISO System

AU - Lee, Jae Won

AU - Kang, Chung Gu

PY - 2019/7/1

Y1 - 2019/7/1

N2 - The data-aided symbol-level precoding scheme has been known as a useful means of improving the system efficiency in multi-user multi-input single-output (MISO) system, especially with a full digital beamforming. As the number of antenna elements increases, it must be extended to hybrid beamforming with a limited number of radio frequency (RF) chains, while degrading its performance. In this paper, we provide a solution approach to the minimum mean-square estimation (MMSE)-based constructive interference optimization (CIO) problem for hybrid beamforming. As it has to resort to the local optimal solution with hybrid beamforming with a limited number of RF chains, its performance turns out to be much worse than that of full digital beamforming. However, its capacity has been shown to exceed that of the existing scheme, indicating that the data-aided symbol-level precoding would be still useful for a massive number of antenna elements in practice.

AB - The data-aided symbol-level precoding scheme has been known as a useful means of improving the system efficiency in multi-user multi-input single-output (MISO) system, especially with a full digital beamforming. As the number of antenna elements increases, it must be extended to hybrid beamforming with a limited number of radio frequency (RF) chains, while degrading its performance. In this paper, we provide a solution approach to the minimum mean-square estimation (MMSE)-based constructive interference optimization (CIO) problem for hybrid beamforming. As it has to resort to the local optimal solution with hybrid beamforming with a limited number of RF chains, its performance turns out to be much worse than that of full digital beamforming. However, its capacity has been shown to exceed that of the existing scheme, indicating that the data-aided symbol-level precoding would be still useful for a massive number of antenna elements in practice.

KW - constructive interference gain

KW - constructive interference optimization (CIO)

KW - data-aided precoding

KW - hybrid beamforming

KW - multi-user MISO system

UR - http://www.scopus.com/inward/record.url?scp=85071834330&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071834330&partnerID=8YFLogxK

U2 - 10.1109/ICUFN.2019.8806174

DO - 10.1109/ICUFN.2019.8806174

M3 - Conference contribution

T3 - International Conference on Ubiquitous and Future Networks, ICUFN

SP - 510

EP - 513

BT - ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks

PB - IEEE Computer Society

ER -