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

3 Citations (Scopus)

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
Country/TerritoryCroatia
CityZagreb
Period19/7/219/7/5

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

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