Quality of Service and Energy Efficient Aware (QEEA) Scheduling Algorithm for Long Term Evolution (LTE)

Authors

  • Nurulanis Mohd Yusoff Faculty of Electrical Engineering, Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, University Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia.
  • Darmawaty Mohd Ali Faculty of Electrical Engineering, Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, University Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia.
  • Azlina Idris Faculty of Electrical Engineering, Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, University Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia.

Keywords:

Energy Efficiency, LTE, QEEA, Scheduling Algorithm,

Abstract

The growing demands for wireless communication services pose new challenges in the coming generation of cellular networks design. In Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) networks, ever-higher data rate and energy efficiency (EE) are required to meet the increasing demands in cellular traffic. High data rates can be achieved, however, it requires high level of energy consumption which needs to be controlled especially in this era of green communication trends. Hence, efficient solutions are necessary to optimize EE and at the same time achieve high data rates to meet green LTE requirements. This paper proposed an efficient algorithm, namely, the Quality of Service (QoS) and Energy Efficient Aware (QEEA) to improve EE and also maximize the throughput by using minimum power of 43 dBm (20 W) which is the lowest power setting according to the 3GPP LTE specifications. The QEAA algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). The simulation process has been done using Network Simulator-3 (NS-3) and the performance of these packet scheduling algorithms were evaluated based on the performance metrics of throughput, delay, packet loss ratio (PLR), energy consumption rate (ECR), and EE for the voice over IP (VoIP), video and File Transfer Protocol (FTP) applications. The results showed that the QEAA algorithm outperformed the other algorithms as it could achieve up to 240% of maximum throughput, 61% reduction in ECR and 150% improvement in EE in terms of number of users in the cell. Thus, it can be concluded that QEAA algorithm is the most energy efficient and the best candidate for provisioning the QoS for the real time (RT) and non-real time (NRT) applications.

References

M. H. Alsharif, R. Nordin, and M. Ismail, “Survey of Green Radio Communications Networks : Techniques and Recent Advances,” Journal of Computer Networks and Communications, vol. 2013, pp. 1- 13, 2013.

Cisco, “Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2015–2020.” Cisco White Paper, pp. 1-39, 3 February 2016.

S. Lambert, W. Van Heddeghem, W. Vereecken, B. Lannoo, D. Colle, and M. Pickavet, “Worldwide Electricity Consumption of Communication Networks,” Opt. Express, vol. 20, no. 26, pp. B513- B524, 2012.

S. J. Wu and L. Chu, “A Novel Packet Scheduling Scheme for Downlink LTE System,” Proc. - 7th Int. Conf. Intell. Inf. Hiding Multimed. Signal Process. IIHMSP 2011, pp. 25–28, 2011.

M. Stasiak, M. Glabowski, A. Wisniewski, P. Zwierzykowski, Modeling and Dimensioning of Mobile Networks: From GSM to LTE, First Edit. John Wiley & Sons, 2011, pp. 1-340.

F. R. M. Lima, S. Wanstedt, F. R. P. Cavalcanti, and W. C. F. Junior, “Scheduling for Improving System Capacity in Multiservice 3GPP LTE,” J. Electr. Comput. Eng., vol. 2010, pp. 1-16, 2010.

J. F. Monserrat, D. Martín-Sacristán, J. Cabrejas-Peñuelas, D. Calabuig, S. Garrigas, and N. Cardona, “On The Way Towards FourthGeneration Mobile: 3GPP LTE and LTE-advanced,” Eurasip J. Wirel. Commun. Netw., vol. 2009, pp. 1-10, 2009.

Y. Chen, S. Zhang, S. Xu, and G. Y. Li, “Fundamental Tradeoffs on Green Wireless Networks,” Energy Efficiency in Communications, pp. 30-37, 2011.

Y. Miao, Kai Wen “An Energy-Efficient Scheduling Strategy in LTE System,” 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, pp. 497-501, 2013.

C. Turyagyenda, T. O’Farrell, and W. Guo, “Long Term Evolution Downlink Packet Scheduling Using a Novel Proportional-Fair-Energy Policy,” 2012 IEEE 75th Veh. Technol. Conf. (VTC Spring), pp. 1–6, 2012.

D. Sabella, M. Caretti, and R. Fantini, “Energy Efficiency Evaluation of State of the Art Packet Scheduling algorithms for LTE,” European Wireless 2011, no. 2, pp. 717–720, 2011.

C. Han, K. C. Beh, M. Nicolaou, S. Armour, and A. Doufexi, “Power Efficient Dynamic Resource Scheduling Algorithms for LTE,” 2010.

C. Han, Simon Armour, “Adaptive Power and Resource Allocation Strategies for Green Radio,” IEEE Globecom 2011 proceedings, 2011.

S. Videv and H. Haas, “Energy-Efficient Scheduling and Bandwidth – Energy Efficiency Trade-Off with Low Load,” IEEE ICC 2011 proceedings, pp. 1-5, 2011.

C. B. Kian, S. Armour, and A. Doufexi, “Joint time-frequency domain proportional fair scheduler with HARQ for 3GPP LTE systems,” IEEE Veh. Technol. Conf., vol. 6, pp. 1–5, 2008.

3GPP Technical Report, “3GPP TR 36.942 version 13.0.0 Release 13 - LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) system scenarios”, 2016.

3GPP Technical Report, “ 3GPP TS 36.104 version 13.2.0 Release 13- Technical Spesification of Evolved Universal Terrestrial Radio Access (E-UTRA); Base Station (BS) radio transmission and reception,”,2016.

D. Eraldo and M. C. Luis, COST Action 231: Digital Mobile Radio Towards Future Generation Systems : Final Report. Belgium: European Communities, pp. 1-463, 1999.

3GPP Technical Report, “TR 25.814, Radio Access Network, Physical layer aspects for evolved Universal Terrestrial Radio Access (UTRA) (Release 7) v7.1.0,”, 2006.

E. Ayman, “Preparing for LTE with HSPA+: How Long will HSPA+ Suffice Before Operators Need to Migrate to LTE.” [Online]. Available: http://www.slideshare.net/aelnashar/lte-world-summit- 2010-ver-3pptx.

G. Piro, L. A. Grieco, G. Boggia, P. Camarda, “A Two-level Scheduling Algorithm for QoS Support in the Downlink of LTE cellular networks,” 2010 European Wireless Conference, pp. 246–253, 2010.

Downloads

Published

2018-02-05

How to Cite

Mohd Yusoff, N., Mohd Ali, D., & Idris, A. (2018). Quality of Service and Energy Efficient Aware (QEEA) Scheduling Algorithm for Long Term Evolution (LTE). Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-5), 7–13. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3617

Issue

Vol. 10 No. 1-5: Breakthrough To Excellence in Communication and Computer Engineering II

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.


Most read articles by the same author(s)