Ramezanipour, I.; Alves, H.; J. Nardelli, P.H.; Pouttu, A. A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications †. Sensors 2020, 20, 2357, https://doi.org/10.3390/s20082357
A throughput and energy efficiency scheme for unlicensed massive machine type communications
|Author:||Ramezanipour, Iran1; Alves, Hirley1; Nardelli, Pedro H. J.2;|
1Centre forWireless Communications, University of Oulu, 90570 Oulu, Finland
2School of Energy Systems, LUT University, 53850 Lappeenranta, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020071347259
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2020-07-13
In this paper, the throughput and energy efficiency of an unlicensed machine type communications network is studied. If an outage event happens in the network, there is a possibility for packet retransmission in order to obtain a lower error probability. The concept of spectrum sharing is used here for modeling the network, which allows the two types of licensed and unlicensed users to share the same uplink channel allocated to the licensed users. However, it is done in a way that no harm is done to the licensed nodes’ transmission for sharing the same channel with the unlicensed users, while licensed nodes’ transmission causes interference on the unlicensed network. Poisson point process is used here to model the location of the nodes and the effect of interference on the network. We study how different factors such as the number of retransmissions, SIR threshold and outage can affect the throughput and energy efficiency of the network. Throughput and energy efficiency are also both studied in constrained optimization problems where the constraints are the SIR threshold and the number of retransmission attempts. We also show why it is important to use limited transmissions and what are the benefits.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is partially supported by Strategic Research Council/Aka BCDC Energy (Grant no. 292854), and the Academy of Finland 6Genesis Flagship (Grant no. 318927) and EE-IOT (grant no. 319008).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
319008 (Academy of Finland Funding decision)
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).