eprintid: 10067512
rev_number: 23
eprint_status: archive
userid: 608
dir: disk0/10/06/75/12
datestamp: 2019-02-11 18:10:39
lastmod: 2021-12-27 23:04:47
status_changed: 2019-02-11 18:10:39
type: article
metadata_visibility: show
creators_name: Xu, T
creators_name: Masouros, C
creators_name: Darwazeh, I
title: Waveform and Space Precoding for Next Generation Downlink Narrowband IoT
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: Narrowband 5G, NB-IoT, eNB-IoT, precoding,
multi-antenna, multi-user, MIMO, non-orthogonal, waveform,
software defined radio, prototyping.
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Narrowband Internet of things (NB-IoT) was introduced by 3GPP in low power wide area network (LPWAN)
to support low power and wide coverage applications. Since it
follows long term evolution (LTE) standard, its signal quality
is guaranteed and its deployment is straightforward via reusing
existing infrastructures. Current NB-IoT supports low data rate
services via using low order modulation formats for the purpose
of power saving. However, with the increase of data rate driven
applications, next generation NB-IoT would require data rate
enhancement techniques without consuming extra battery power.
In this work, a downlink framework, using a non-orthogonal
signal waveform for next generation enhanced NB-IoT (eNB-IoT),
is proposed and experimentally tested in both single-antenna and
multi-antenna systems. In the single-antenna scenario, waveform
precoding is used to pre-equalize the self-created inter carrier
interference (ICI) distorted signal waveform. For the multiantenna multi-user scenario, both waveform and antenna space
precoding have to be used. Measured results show that in both
single-antenna and multi-antenna systems, the proposed signal
waveform in eNB-IoT can increase data rate by ∼11% compared
with NB-IoT occupying the same spectral resource in similar
receiver computational complexity.
date: 2019-01-31
date_type: published
publisher: Institute of Electrical and Electronics Engineers Inc.
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1627490
lyricists_name: Darwazeh, Izzat
lyricists_name: Masouros, Christos
lyricists_name: Xu, Tongyang
lyricists_id: IDARW65
lyricists_id: CMASO14
lyricists_id: TXUXX28
actors_name: Xu, Tongyang
actors_id: TXUXX28
actors_role: owner
full_text_status: public
publication: IEEE Internet of Things Journal
issn: 2327-4662
citation:        Xu, T;    Masouros, C;    Darwazeh, I;      (2019)    Waveform and Space Precoding for Next Generation Downlink Narrowband IoT.                   IEEE Internet of Things Journal           (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10067512/1/jiot2019-mu-mimo-sefdm-ng-iot.pdf