A Study of Scheduling Algorithms in LTE -Advanced HetNet

Authors

  • Azheen Ghafour Mohammed Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq

DOI:

https://doi.org/10.25212/lfu.qzj.6.3.33

Keywords:

HetNet, LTE-Advanced, Towards 5G, Riverbed Modeler, Scheduling Algorithms

Abstract

Long Term Evolution (LTE), known as 4G technology, is considered the choice for Third Generation Partnership Project (3GPP) and 3GPP2 mobile operators. LTE is expected to bring an improved user experience with full mobility support.   However, to cope with the increasing number of mobile data subscribers that compete for the limited radio resources, effective network Quality of Service (QoS) mechanisms are necessary. A solution is to introduce small cells by adding low-power base stations to the existing macro- eNBs (Evolved Node B). The result is a Heterogeneous Network (HetNet) with large macro-cells combined with small cells (micro-, pico- and femto-cells) to cover areas not covered by the Macro-cells. Practically, HetNet is introduced in LTE-Advanced which is an extended version of LTE with more advanced features. Introducing HetNet in LTE-A brings challenges especially in terms of physical integration, QoS support and interference management. In this research, an architecture of HetNet integration is proposed. After that, some QoS scheduling algorithms are deployed for different types of on-going applications. Then, through the use of Riverbed Modeler, their performance parameters are studied with extensive simulations. Finally, an intensive comparison is done among the algorithms followed by a detailed discussion.

Downloads

Download data is not yet available.

References

Abduljalil, M. A. (2014, November-December). Resource Scheduling Algorithms in Long Term Evolution (LTE). Journal of Electronics and Communication Engineering (IOSR-JECE), 9(6), 50-53. Retrieved April 7, 2017

Ali, M. S., & Yahiya, T. A. (2018, October). Performance Analysis of Native Ipv4/Ipv6 Networks Compared to 6to4 Tunnelling Mechanism. In 2018 International Conference on Advanced Science and Engineering (ICOASE) (pp. 250-255). IEEE.

Attar, H., Khosravi, M. R., Igorovich, S. S., Georgievan, K. N., & Alhihi, M. (2020). Review and performance evaluation of FIFO, PQ, CQ, FQ, and WFQ algorithms in multimedia wireless sensor networks. International Journal of Distributed Sensor Netowrks, 16(6). doi:10.1177/1550147720913233

Awasthi, Y., & Sharma, A. (2020). Contrasting of Various Algorithmic Techniques to Solve Knapsack 0-1 Problem. JOIV: International Journal on Informatics Visualization, 4(1), 16-21.

Balchunas, A. (2010, April 26). Introduction to QoS. Retrieved April 7, 2017, from http://www.routeralley.com/guides/qos_intro.pdf

Chambers, D. (2008). Think Small Cell. Retrieved June 15, 2017, from https://www.thinksmallcell.com/FAQs/whats-the-difference-between-picocells-and-femtocells.html

Gouveia, F. C., & Magedanz, T. (n.d.). Quality of Service in Telecommunication Networks. Telecommunication Systems and Technologies, 2.

Haas, H. (2009, May 2). Queuing Methods From FIFO to CB-WFQ/PQ. Herbert Haas. Retrieved April 12, 2017, from www.perihel.at

Hamarash, I. I. (2021). MODEL-Based Performance Quality Assessment for IoT Applications. International Journal of Interactive Mobile Technologies, 15(12).

Ibrahim, B. F., Toycan, M., & Mawlood, H. A. (2020, January). A comprehensive survey on VANET broadcast protocols. In 2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) (pp. 298-302). IEEE.

Inner Mongolia University. (2001). Queuing Mechanisms. Inner Mongolia University. Retrieved April 20, 2017

Islam, Z., & Rashed, M. G. (n.d.). A Comparative analysis on traditional Queuing and Hybrid Queuing Mechanism of VoIP’s QoS Properties. International Journal Of Advance Innovations, Thoughts & Ideas, 2(2). Retrieved May 7, 2017, from https://www.omicsonline.org/open-access/a-comparative-analysis-on-traditional-queuing-and-hybrid-queuing-mechanism-of-voips-qos-properties-2277-1891.1000140.pdf

Kh, T., & Hamarash, I. (2020). Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study.

Kumar, A., & Garg, A. K. (2011, December). Queuing Algorithem Based Quality of Service (Qos) For Scheduling Environment Model in Wimax Network with Opnet Modeler. Global Journal of Researches in Engineering, 11(8), 35-40. Retrieved April 14, 2017

Ludovici, D. (2006). Performance Analysis of RR and FQ Algorithms in Reconfigurable Routers. Netherlands: University of Pisa. Retrieved April 16, 2017, from http://ce-publications.et.tudelft.nl/publications/779_performance_analysis_of_rr_and_fq_algorithms_in_reconfigurab.pdf

Miran, A., & Kadir, G. (2019). Enhancing AODV routing protocol to support QoS. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 1824–1830

Momanyi, E. O., Oduol, V. K., & Musyoki, S. (2014). First In First Out (FIFO) And Priority Packet Scheduling Based On Type Of Service (TOS). Journal of Information Engineering and Applications, 4(7), 22-37.

Mustafa, M. E., & Talab, S. A. (2016). The Effect of Queuing Mechanisms First in First out (FIFO), Priority Queuing (PQ) and Weighted Fair Queuing (WFQ) on Network’s Routers and Applications. Wireless Sensor Network, 8(5), 77-84. doi:10.4236/wsn.2016.85008

Ochieng, E. (2014, October 28). Riverbed Technology. Retrieved June 20, 2017, from https://splash.riverbed.com/docs/DOC-4833

Owaid, H. J. A. A. A., Noori, H. S. M., & Raouf, M. (2020). EFFECT OF HYBRID NANO MATERIAL (Ti+ Cu) ADDITION ON CORROSION–FATIGUE INTERACTION AND ELECTRICAL PROPERTIES. Iraqi journal of mechanical and material engineering, 20(1).

Priya, M. D., Malar, A. C., Peter, S. S., Sandhya, G., Varthan, L. R., & Vignesh, R. (2021). Dynamic Resource Aware Scheduling Schemes for IEEE 802.16 Broadband Wireless Networks. In Progress in Advanced Computing and Intelligent Engineering, Advances in Intelligent Systems and Computing (Vol. 1198, pp. 218-230). Singapore: Springer. doi:https://doi.org/10.1007/978-981-15-6584-7_22

Priya, M. D., Valarmathi, M., & Sundarameena, V. (2013, June). Efficient QoS-based Scheduling Mechanisms for IEEE 802.16e Networks. International Journal of Computer Applications, 72(20), 34-41.

Riverbed. (2015). Creating the LTE Topology.

Riverbed. (2017). Riverbed Technology. Retrieved June 20, 2017, from https://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html

Riverbed Technology. (2016). Riverbed Modeler Software 18.6.0 Manual. San Francisco , USA.

Sethi, A. S., & Vasil, H. Y. (2013). The Practical Opnet User Guide for Computer Network Simulation (1st ed.). London: CRC Press.

Semenov, S., Voloshyn, D., & Ahmed, A. N. (2019). Mathematical model of the implementation process of flight task of unmanned aerial vehicle in the conditions of external impact. International Journal of Advanced Trends in Computer Science and Engineering, 8(1), 7-13.

Sridhar, K. (2012). Introduction to Evolved Packet Core (EPC): EPC Elements, protocols and procedures.

Syah, R., Davarpanah, A., Nasution, M. K., Wali, Q., Ramdan, D., Albaqami, M. D., ... & Noori, S. M. (2021). The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites. Coatings, 11(10), 1173.

Wannstrom, J., & Mallinson, K. (2017). 3GPP.ORG. Retrieved May 25, 2017, from http://www.3gpp.org/hetnet

Downloads

Published

2021-09-30

How to Cite

Azheen Ghafour Mohammed. (2021). A Study of Scheduling Algorithms in LTE -Advanced HetNet. QALAAI ZANIST JOURNAL, 6(3), 945–968. https://doi.org/10.25212/lfu.qzj.6.3.33

Issue

Section

Articles