University of Oulu

Nouri, P., Alves, H., Latva-aho, M. (2018) Performance analysis of ultra-reliable short message decode and forward relaying protocols. EURASIP Journal on Wireless Communications and Networking, 2018 (1), 202. doi:10.1186/s13638-018-1210-6

Performance analysis of ultra-reliable short message decode and forward relaying protocols

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Author: Nouri, Parisa1; Alves, Hirley1; Latva-aho, Matti1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.7 MB)
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Language: English
Published: Springer Nature, 2018
Publish Date: 2018-10-09


Machine-type communication (MTC) is a rapidly growing technology which covers a broad range of automated applications and propels the world into a fully connected society. Two new use cases of MTC are massive MTC (mMTC) and ultra-reliable low latency communication (URLLC), where mMTC supports a large number of devices with high reliability and low rate connectivity while URLLC refers to excessively low outage probability under very stringent latency constraint. Herein, we examine the URLLC through three cooperative schemes, namely dual-hop decode and forward, selection combining, and maximum ratio combining, and compare to direct transmission under Rayleigh fading. We compare the performance of studied cooperative protocols under two distinct power constraints with respect to latency and energy efficiency. Moreover, we illustrate the impact of coding rate on the probability of successful transmission in ultra-reliable region in addition to the effect of power allocation on the outage probability. We also provide the performance analysis of cooperative schemes in terms of energy efficiency and latency requirements.

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Series: EURASIP journal on wireless communications and networking
ISSN: 1687-1472
ISSN-E: 1687-1499
ISSN-L: 1687-1472
Volume: 2018
Article number: 202
DOI: 10.1186/s13638-018-1210-6
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has been partially supported by Finnish Funding Agency for Technology and Innovation (Tekes), Huawei Technologies, Nokia and Anite Telecoms, and Academy of Finland (under Grant no. 307492)
Academy of Finland Grant Number: 307492
Detailed Information: 307492 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.