Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Packet Scheduling for Internet of Remote Things (IoRT) Devices in Next Generation Satellite Networks

Author(s): Gbolahan Aiyetoro* and Pius Owolawi

Volume 12, Issue 2, 2022

Published on: 30 November, 2021

Page: [165 - 176] Pages: 12

DOI: 10.2174/2210327911666211013140728

Price: $65

conference banner
Abstract

Background: The massive amount of deployment of Internet of Things (IoT) devices via wireless communications has presented a new paradigm in next-generation mobile networks. The rapid growth in the deployment of IoT devices can be linked to the diverse use of several IoT applications for home automation, smart systems, and other forms of innovations in businesses and industry 4.0.

Methods: There is a need for a robust network infrastructure to actualize the huge traffic demand of IoT communications in this new paradigm across the globe, including rural and remote areas. However, due to technical and economic constraints, the terrestrial network infrastructure is not able to fulfill this requirement. Hence, the need for satellite network infrastructure. This solution will be of immense benefit to the provision of remote health care, disaster management, remote sensing, and asset tracking, and environmental monitoring, to name a few. While this remains an interesting solution, packet scheduling, which is one of the key radio resource management functions, is still a challenging issue that remains undefined, especially in a satellite network scenario that has its peculiarities and challenges.

Results: Hence, the goal of this research work is to design a new packet scheduling scheme suitable for machine-type communications and also mixed-use case scenarios in satellite network scenarios. The performance evaluation of the proposed packet scheduler is conducted through simulations.

Conclusion: The newly proposed packet scheduling scheme provides an improvement of approximately 7 Mbps and 0.5 bps/Hz in terms of throughput and spectral efficiency performances, respectively, in mixed-use case scenarios, when compared to known throughput optimal packet schedulers, without serious compromise to other performance metrics.

Keywords: Satellite networks, internet of things, 5G, packet scheduling, cross-layer design, radio resource management.

« Previous Next »
Graphical Abstract

[1]
METIS. Mobile and Wireless Communications Enablers for the 2020 Information Society. 2015. Available from: www.metis2020.com accessed on April 15, 2019
[2]
Ericsson. 5G radio access. Ericsson Rev 2014; 6: 1-8.
[3]
Atzori L, Iera A, Morabito G. The internet of things: A survey. Comput Netw 2010; 54(15): 2787-805.
[http://dx.doi.org/10.1016/j.comnet.2010.05.010]
[4]
Lien SY, Chen KC, Liang YC, Lin Y. Cognitive radio resource management for future cellular networks. IEEE Wirel Commun 2014; (Feb): 70-9.
[http://dx.doi.org/10.1109/MWC.2014.6757899]
[5]
World Internet Users Statistics and 2020 World Population Stats. Available from: [retrieved: June, 2020] https: https://www.internetworldstats.com/stats.htm
[6]
Andrews JG. What will 5G be? IEEE J Sel Areas Comm 2014; 32(6): 1065-82.
[http://dx.doi.org/10.1109/JSAC.2014.2328098]
[7]
Osseiran A. Scenarios for 5G mobile and wireless communications: The vision of the METIS project. IEEE Commun Mag 2014; 52(5): 26-35.
[http://dx.doi.org/10.1109/MCOM.2014.6815890]
[8]
Simsek M, Aijaz A, Dohler M, Sachs J, Fettweis G. 5G-enabled tactile Internet. IEEE J Sel Areas Comm 2016; 34(3): 460-73.
[http://dx.doi.org/10.1109/JSAC.2016.2525398]
[9]
Larsson EG, Edfors O, Tufvesson F, Marzetta TL. Massive MIMO for next generation wireless systems. IEEE Commun Mag 2014; 52(2): 186-95.
[http://dx.doi.org/10.1109/MCOM.2014.6736761]
[10]
Rusek F. Scaling up MIMO: Opportunities and challenges with very large arrays. IEEE Signal Process Mag 2013; 30(1): 40-60.
[http://dx.doi.org/10.1109/MSP.2011.2178495]
[11]
Alibakhshikenari M. A Comprehensive survey on “various decoupling mechanisms with focus on metamaterial and metasurface principles applicable to SAR and MIMO antenna systems”. IEEE Access 2020; 8: 192965-3004.
[http://dx.doi.org/10.1109/ACCESS.2020.3032826]
[12]
Alibakhshikenari M. Isolation enhancement of densely packed array antennas with periodic MTM-photonic bandgap for SAR and MIMO systems. IET Microw Antennas Propag 2020; 14(3): 183-8.
[http://dx.doi.org/10.1049/iet-map.2019.0362]
[13]
Zhang CJ. New waveforms for 5G networks. IEEE Commun Mag 2016; 54(11): 64-5.
[http://dx.doi.org/10.1109/MCOM.2016.7744811]
[14]
Niu Y, Li Y, Jin D, Su L, Vasilakos AV. A survey of millimetre wave communications (mmWave) for 5G: Opportunities and challenges. Wirel Netw 2015; 21(8): 2657-76.
[http://dx.doi.org/10.1007/s11276-015-0942-z]
[15]
Alibakhshikenari M, Virdee BS, Althuwayb AA, et al. Study on on-Chip Antenna Design Based on Metamaterial-Inspired and Substrate-Integrated Waveguide Properties for Millimetre-Wave and THz Integrated-Circuit Applications. Int J Infrared Millim Terahertz Waves 2021; 42: 17-28.
[http://dx.doi.org/10.1007/s10762-020-00753-8]
[16]
Alibakhshikenari M, Virdee BS, Khalily M, et al. High-Gain On-Chip Antenna Design on Silicon Layer with Aperture Excitation for Terahertz Applications. IEEE Antennas Wirel Propag Lett 2020; 19(9): 1576-80.
[http://dx.doi.org/10.1109/LAWP.2020.3010865]
[17]
Bhushan N, et al. Network densification: The dominant theme for wireless evolution into 5G. IEEE Commun Mag 2014; 52(2): 82-9.
[http://dx.doi.org/10.1109/MCOM.2014.6736747]
[18]
Sabharwal A, et al. In-band full-duplex wireless: Challenges and opportunities. IEEE J Sel Areas Comm 2014; 32(9): 1637-52.
[http://dx.doi.org/10.1109/JSAC.2014.2330193]
[19]
Mahmood NH, Berardinelli G, Tavares FML, Mogensen P. On the potential of full duplex communication in 5G small cell networks Proc 81st Veh Technol Conf (VTC Spring). Glasgow, U.K.. 2015; pp. 1-5.
[http://dx.doi.org/10.1109/VTCSpring.2015.7145975]
[20]
Giambene G, Kota S, Pillai P. Satellite - 5G Integration: A Network Perspective. IEEE Netw 2018; (5): 25-31.
[http://dx.doi.org/10.1109/MNET.2018.1800037]
[21]
Kota S, Giambene G. Satellite 5G: IoT Use Case for Rural Areas Applications. The Eleventh International Conference on Advances in Satellite and Space Communications - SPACOMM. Valencia, Spain. 2019.March 24 - 28, 2019;
[22]
Stankovic JA. Research directions for the Internet of Things. IEEE Internet Things J 2014; 1(1): 3-9.
[http://dx.doi.org/10.1109/JIOT.2014.2312291]
[23]
De Sanctis M, Cianca E, Araniti G, Bisio I, Prasad R. Satellite Communications Supporting Internet of Remote Things. IEEE Internet Things J 2016; 3(1): 113-23.
[http://dx.doi.org/10.1109/JIOT.2015.2487046]
[24]
Fraire JA, Céspedes S, Accettura N. Direct-To-Satellite IoT – A survey of the state of the art and future research perspectives Ad-Hoc, mobile, and wireless networks ADHOC-NOW. Lecture Notes in Computer ScienceSpringer 2019; p. 11803.
[http://dx.doi.org/10.1007/978-3-030-31831-4_17]
[25]
Direct IoT connectivity demonstrated via GEO satellite. Available from: [retrieved: June, 2020] https: https://www.electronicspecifier.com/products/iot/direct-iot-connectivity-demonstrated-via-geo-satellite
[26]
Internet of Things (IoT) via Satellite. Available from: [retrieved: June, 2020] https://www.iis.fraunhofer.de/en/ff/kom/satkom/satellite_iot.html
[27]
Evans B, Onireti O, Spathopoulos T, Imran MA. The role of satellites in 5G. 2015 23rd European Signal Processing Conference (EUSIPCO). 2756-60.
[http://dx.doi.org/10.1109/EUSIPCO.2015.7362886]
[28]
Farhan L, Alzubaidi L, Abdulsalam M, Abboud AJ, Hammoudeh M, Kharel R. An efficient data packet scheduling scheme for Internet of Things networks. 2018 1st International Scientific Conference of Engineering Sciences - 3rd Scientific Conference of Engineering Science (ISCES). Diyala. 2018; pp. 1-6.
[http://dx.doi.org/10.1109/ISCES.2018.8340518]
[29]
Rajab H, Cinkler T, Bouguera T. IoT scheduling for higher throughput and lower transmission power. Wirel Netw 2020. Epub ahead of print
[http://dx.doi.org/10.1007/s11276-020-02307-1]
[30]
Itoh N, Kaneko H, Kohiga A, Iwai T, Shimonishi H. Novel packet scheduling for supporting various real-time IoT applications in LTE networks 2017 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR). Naples, FL. 2017; pp. 1-6.
[http://dx.doi.org/10.1109/CQR.2017.8289445]
[31]
Kim D, Lee T, Kim S, Lee B, Youn HY. Adaptive packet scheduling in IoT environment based on Q-learning. Procedia Comput Sci 2018; 141: 247-54.
[http://dx.doi.org/10.1016/j.procs.2018.10.178]
[32]
Jiang Z, Han B, Chen P, Yang F, Bi Q. On novel access and scheduling schemes for IoT communications. 2016; 2016.
[http://dx.doi.org/10.1155/2016/3973287]
[33]
Kodheli O, Andrenacci S, Maturo N, Chatzinotas S, Zimmer F. An uplink UE group-based scheduling technique for 5G mMTC systems over LEO satellite. IEEE Access 2019; 7: 67413-27.
[http://dx.doi.org/10.1109/ACCESS.2019.2918581]
[34]
Marchese M, Moheddine A, Patrone F. IoT and UAV integration in 5G hybrid terrestrial-satellite networks. Sensors (Basel) 2019; 19(17): 3704.
[http://dx.doi.org/10.3390/s19173704] [PMID: 31454994]
[35]
Chiti F, Fantacci R, Pierucci L. Energy efficient communications for reliable IoT multicast 5G/satellite services. Future Internet 2019; 11: 164.
[http://dx.doi.org/10.3390/fi11080164]
[36]
Valery T, Victor K. Prospects of 5G satellite networks development. IntechOpen 2020.
[http://dx.doi.org/10.5772/intechopen.90943]
[37]
King PR, Brown TWC, Kyrgiazos A, Evans BG. Empirical-stochastic LMS-MIMO channel model implementation and validation. Antennas and propagation. IEEE Transactions on 2012; 60(2): 606-14.
[http://dx.doi.org/10.1109/TAP.2011.2173448]
[38]
Aiyetoro G, Giambene G, Takawira F. Packet scheduling in MIMO satellite long term evolution networks. Int J Satell Commun Netw 2017; 35: 67-88.
[http://dx.doi.org/10.1002/sat.1156]
[39]
Aiyetoro G, Takawira F, Walingo T. Near-optimal packet scheduling scheme in satellite LTE networks. IET Commun 2017; 11(15): 2311-9.
[http://dx.doi.org/10.1049/iet-com.2016.0106]
[40]
Video trace library. Available from: http://trace.eas.asu.edu/
[41]
Piro G, Grieco L, Boggia G, Capozzi F, Camarda P. Simulating LTE cellular systems: An open-source framework. IEEE Trans Vehicular Technol 2011; 60: 498-513.
[http://dx.doi.org/10.1109/TVT.2010.2091660]
[42]
Afroz F, Sandrasegaran K, Ghosal P. Performance analysis of PF, M-LWDF and EXP/PF packet scheduling algorithms in 3GPP LTE downlink 2014 Australasian Telecommunication Networks and Applications Conference (ATNAC). Southbank, VIC. 2014; pp. 87-92.
[http://dx.doi.org/10.1109/ATNAC.2014.7020879]
[43]
Aiyetoro G, Takawira F. A new packet scheduling scheme in satellite HSDPA networks. J Inst Electron Telecommun Eng 2015; 61(1): 3-13.
[http://dx.doi.org/10.1080/03772063.2014.988758]
[44]
Aiyetoro G, Takawira F. An exponential based packet scheduling scheme for real time traffic in satellite LTE networks. IEEE AFRICON, Cape Town 2017; 2017: 215-20.
[http://dx.doi.org/10.1109/AFRCON.2017.8095484]
[45]
Sadiq B, Madan R, Sampath A. Downlink scheduling for multiclass traffic in LTE, EURASIP Journal on Wireless Communications and Networking, Vol. 2009, 2009.
[http://dx.doi.org/10.1155/2009/510617]

Rights & Permissions Print Cite
Article Metrics
8
1
© 2024 Bentham Science Publishers | Privacy Policy