PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS

Authors

  • Nurulanis Mohd Yusoff Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia
  • Darmawaty Mohd Ali Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia
  • Ku Siti Syahidah Ku Mohd Noh Wireless Communication Technology Group (WiCoT), Advanced Computing and Communication Communities of Research, Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.9891

Keywords:

LTE, scheduling algorithm, video, VoIP, ns3, energy consumption

Abstract

Energy efficiency has become an important feature in communication systems due to the problem of global warming and lack of energy resources. The impact on global warming caused by wireless communication industries has been gradually increasing, so it is obvious that developing the green communication is significant. In particular, energy consumption in the base stations and downlink transmission are the major areas where significant conservation can be achieved. Thus, the objective of this study is to investigate the performance of the packet scheduling algorithms in the downlink transmission and the energy consumption for video and Voice over IP (VoIP) applications in Long Term Evolution (LTE) systems. In this work, four different scheduling algorithms were analysed namely the Channel and Quality of Service Aware Proportional Fair (CQA_PF), CQA Frequency Fading (CQA_Ff), Priority Set Scheduler Proportional Fair (PSS_PF), and PSS Carrier Over Interference to Average (PSS_CoItA) based on the performance metrics of throughput, delay, energy consumption ratio (ECR) and fairness. The results showed that the CQA algorithm for both methods (CQA_PF and CQA_Ff) outperformed the other algorithms since it has the highest throughput with an increase of up to 25%. Meanwhile, for delay and ECR, the CQA scheduler was the lowest of up to 20% as compared to the PSS scheduler. Thus, it can be concluded that CQA is the most energy efficient algorithm to schedule the video and VoIP applications.

References

Walter Keating. 2011. Reducing Energy Consumption in Access Networks, MEng. Final Report, Appendix B.

Alsharif, M. H., Nordin, R., & Ismail, M. 2013. Survey Of Green Radio Communications Networks: Techniques And Recent Advances. Journal Of Computer Networks And Communications. 1-13.

Rui Wang, John, S. Thompson, and Harald, Haas. 2010. A Novel Time-Domain Sleep Mode Design for Energy-Efficient LTE. Proceedings of the 4th International Symposium on Communications,Control and Signal Processing(ISCCSP). 1-4.

Markus Gruber, Oliver Blume, Dieter Ferling, Dietrich Zeller, Muhammad Ali Imran and Emilio Calvanese Strinati. 2009. EARTH – Energy Aware Radio and Network Technologies. IEEE. 1-6.

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

ECR Initiative. 2010. Network and Telecom Equipment – Energy and Performance Assessment, Metrics, Test Procedure and Measurement Methodology, Draft 3.0.1.

Rebekka, B., Vinay Kumar B., and Dr. B. Malarkodi. 2015. Radio Resource Allocation with Energy Efficiency-Throughput Balancing for LTE Downlink. IEEE Sponsored 2nd International Conference on Electronics and Communication System (ICECS 2015). 111-115.

Mohammad, R. Sabagh, Mehrdad Dianati, Muhammad A.Imran, and Rahim Tafazolli. 2013. A Heuristic Energy Efficiency Scheduling Scheme for VoIP in 3GPP LTE Networks. IEEE International Conference on Communications 2013: IEEE ICC’13. 413-418.

Capozzi, F., Piro, G., Grieco, L. A., Boggia, G., and Camarda P. 2012. Downlink Packet Scheduling in LTE Cellular Networks: Key Design Issues and a Survey. IEEE Transaction on Vehicular Technology. 15(2): 678-700.

Kela P., Puttonen J., Kolehmainen N., Ristaniemi T., Honttonen T., and Moisio M. 2008. Dynamic Packet Scheduling Performance in UTRA Long Term Evolution Downlink. Proceedings of the International Symposium on Wireless Pervasive Computing (ISWPC’08).

Han, C., Beh, K. C., Nicolaou, M., Armour, S., and Doufexi, A. 2010. Power Efficient Resource Scheduling Algorithms for LTE. IEEE Vehicular Technology Conference (VTC Fall). 1-5.

Turyagyenda, C., O'Farrell, T., and Guo, W. 2012. Long Term Evolution Downlink Packet Scheduling using A Novel Proportional-Fair-Energy Policy. IEEE Vehicular Technology Conference VTC Spring. 1-6.

Shunqing Zhang, Yan Chen, and Shugong Xu. 2010. Improving Energy Efficiency through Bandwidth, Power, and Adaptive Modulation. IEEE Vehicular Technology Conference (VTC Fall). 1-5.

Beh, K. C., Armour, S., and Doufexi, A. 2008. Joint Time-Frequency Domain Proportional Fair Scheduler with HARQ for 3GPP LTE Systems. Proceedings of IEEE Vehicular Technology Conference (VTC).

Bojovic, B., and Baldo N. 2014. A New Channel and QoS Aware Scheduler to Enhance the Capacity of Voice over LTE Systems. Proc. IEEE 11th Int. Multi-Conference Syst. Signals Devices, SSD. 1-6.

Mongha, G., Pedersen, K., Kov´acs, I., and Mogensen, P. 2008. QoS Oriented Time and Frequency Domain Packet Schedulers for The UTRAN Long Term Evolution. Proceedings of IEEE Vehicular TechnologyConference (VTC).

Huda Adibah Mohd Ramli, Riyaj Basukala, Kumbesan Sandrasegaran, and Rachod Patachaianand. 2009. Performance of Well Known Packet Scheduling Algorithms in the Downlink 3GPP LTE System. Proceedings of the 2009 IEEE 9th Malaysia International Conference on Communications. 815-820.

Arne Lie, and JirkaKlaue. 2007. Evalvid-RA: Trace Driven Simulation of Rate Adaptive MPEG-4 VBR Video. Multimedia System. 14: 33-50.

Adi, S. M. Y., Kuokkwee Wee, Ee Mae A, and Mohd. F. A. A. 2015. Performance Study of Channel-QoS Aware Scheduler in LTE Downlink using NS3. EMERGING 2015: The Seventh International Conference on Emerging Networks and Systems Intelligence. 44-49.

Weingartner, E., H. vom Lehn, and K. Wehrle. 2009. A Performance Comparison of Recent Network Simulator. International Conference on Communications. 1-5.

Xiaowei, Li, Bing, L., Bing, Lan. 2010. Adaptive PF Scheduling Algorithm in LTE Cellular system. IEEE Information and Communication Technology Convergence (ICTC). 501-504.

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Published

2016-10-30

How to Cite

PERFORMANCE ANALYSIS OF THE ENERGY CONSUMPTION OF THE SCHEDULING ALGORITHMS IN LONG TERM EVOLUTION LTE (LONG TERM EVOLUTION) NETWORKS. (2016). Jurnal Teknologi (Sciences & Engineering), 78(10-4). https://doi.org/10.11113/jt.v78.9891