Waveform multiplexing for new radio: Numerology management and 3D evaluation

Yeon Geun Lim, Taehun Jung, Kwang Soon Kim, Chan Byoung Chae, Reinaldo A. Valenzuela

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

A 5G communication system includes massive machine-type communication, enhanced mobile broadband, and ultra-reliable low-latency communication. To meet the requirements of 5G applications, researchers have considered various scalable subcarrier spacings and transmission time intervals. In this article, we introduce the concept of waveform multiplexing, which is a resource management system for numerology multiplexing that employs appropriate waveforms to various numerologies. It also possesses both a dynamic cyclic prefix and a minimum guard band, which are the key features for achieving high spectral efficiency. We verify the significant gain produced by proposed waveform multiplexing by performing extensive 3D ray-tracing- based system-level evaluations in realistic 3D environments. Finally, we provide guidelines on waveform multiplexing design by considering the time-domain and frequency-domain characteristics of the new radio waveform candidates.

Original languageEnglish
Article number8524897
Pages (from-to)86-94
Number of pages9
JournalIEEE Wireless Communications
Volume25
Issue number5
DOIs
Publication statusPublished - 2018 Oct

Bibliographical note

Funding Information:
This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the Institute for Information & Communications Technology Promotion (IITP) and the ICT R&D program of MSIT/IITP (2015-0-00300, Multiple Access Technique with Ultra-Low Latency and High Efficiency for Tactile Internet Services in IoT Environments). An earlier version of this article was presented, in part, at the European Conference on Networks and Communications (EuCNC) in 2017.

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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