University of Oulu

Onel L. Alcaraz López, Hirley Alves, Pedro H. J. Nardelli, Matti Latva-aho, Hybrid resource scheduling for aggregation in massive machine-type communication networks, Ad Hoc Networks, Volume 94, 2019, 101932, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2019.101932

Hybrid resource scheduling for aggregation in massive machine-type communication networks

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Author: Alcaraz López, Onel L.1; Alves, Hirley1; Nardelli, Pedro H. J.2;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Laboratory of Control Engineering and Digital Systems, Lappeenranta University of Technology, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2019080823691
Language: English
Published: Elsevier, 2019
Publish Date: 2021-06-22
Description:

Abstract

Data aggregation is a promising approach to enable massive machine-type communication (mMTC). Here, we first characterize the aggregation phase where a massive number of machine-type devices transmits to their respective aggregator. By using non-orthogonal multiple access (NOMA), we present a hybrid access scheme where several machine-type devices (MTDs) share the same orthogonal channel. Then, we assess the relaying phase where the aggregatted data is forwarded to the base station. The system performance is investigated in terms of average number of MTDs that are simultaneously served under imperfect successive interference cancellation (SIC) at the aggregator for two scheduling schemes, namely random resource scheduling (RRS) and channel-dependent resource scheduling (CRS), which is then used to assess the performance of data forwarding phase.

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Series: Ad hoc networks
ISSN: 1570-8705
ISSN-E: 1570-8713
ISSN-L: 1570-8705
Volume: 94
Article number: 101932
DOI: 10.1016/j.adhoc.2019.101932
OADOI: https://oadoi.org/10.1016/j.adhoc.2019.101932
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work is partially supported by Academy of Finland (Aka) (Grants n.303532, n.307492, n.318927 (6Genesis Flagship)), SRC/Aka BCDC Energy (n. 292854), as well as the Finnish Foundation for Technology Promotion, the Finnish Funding Agency for Technology and Innovation (Tekes), Bittium Wireless, Keysight Technologies Finland, Kyynel, MediaTek Wireless, Nokia Solutions and Networks.
Academy of Finland Grant Number: 303532
307492
318927
Detailed Information: 303532 (Academy of Finland Funding decision)
307492 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
Copyright information: © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
  https://creativecommons.org/licenses/by-nc-nd/4.0/