Customized Packet Scheduling Algorithm for LTE Network
Keywords:
LTE, RRM, Packet Scheduling Algorithm, CQI, Throughput, Spectral Efficiency, Fairness, System Delay.Abstract
Advanced mobile networks are expected to provide omnipresent broadband access to a continuously growing number of mobile users. LTE system represents 4G mobile network. The key feature thereof is the adoption of advanced Radio Resource Management procedures in order to increase the system performance up to Shannon’s limit. Packet scheduling mechanisms, in particular, play a fundamental role, because they are responsible for choosing, with fine time and frequency resolutions, how to distribute scarce radio resources among different mobile stations, taking into account channel conditions and QoS requirements. This objective should be accomplished by providing an optimal trade-off between spectral efficiency and fairness. In this context, this paper proposes customized packet scheduling algorithm designed to adaptively alter scheduling schemes considering multiple input variables in order to maximize spectral efficiency as well as overall system performance.
References
[2] R. Kwan, C. Leung, and J. Zhang, “Multiuser scheduling on the downlink of an LTE cellular system,” Rec. Lett. Commun., vol. 2008, pp. 3:1–3:4, Jan. 2008. [Online]. Available: http://dx.doi.org/10.1155/2008/323048
[3] F. Capozzi, Student Member, IEEE, G. Piro, Student Member, IEEE, L.A. Grieco, Member, IEEE, G. Boggia, Senior Member, IEEE, and P. Camarda, “Downlink Packet Scheduling in LTE Cellular Networks: Key Design Issues and a Survey”, IEEE Communications Surveys & Tutorials - Vol: 15, Issue: 2, Second Quarter 2013, pp. 3, 12-15
[4] A. S. Tanenbaum, Modern Operating Systems, 3rd ed. Upper Saddle River, NJ, USA: Prentice Hall Press, 2007
[5] P. Kela, J. Puttonen, N. Kolehmainen, T. Ristaniemi, T. Henttonen, and M. Moisio, “Dynamic packet scheduling performance in UTRA Long Term Evolution downlink,” in Proc. of International Symposium on Wireless Pervasive Computation, Santorini, Greece, May 2008, pp. 308 –313.
[6] Jahyr Gonçalves Neto, Fabbryccio A. C. M. Cardoso, Paulo A. Valente Ferreira and Max H. M. Costa, “Customizable Algorithm for Data Scheduling in Long Term Evolution Networks”, Information Theory and Applications Workshop (ITA), 2015
[7] R. Kwan, C. Leung, and J. Zhang, “Proportional Fair Multiuser Scheduling in LTE,” IEEE Signal Process. Let., vol. 16, no. 6, pp. 461 –464, Jun. 2009.
[8] C. Wengerter, J. Ohlhorst, and A. von Elbwart, “Fairness and throughput analysis for generalized proportional fair frequency scheduling in OFDMA,” in Proc. of IEEE Veh. Tech. Conf., VTC-Spring, vol. 3, Stockholm, Sweden, May 2005, pp. 1903 – 1907
[9] M. Proebster, C. Mueller, and H. Bakker, “Adaptive fairness control for a proportional fair LTE scheduler,” in Proc. Of IEEE Personal Indoor and Mobile Radio Commun., PIMRC, Istanbul, Turkey, Sep. 2010, pp. 1504 –1509
[10] X. Li, B. Li, B. Lan, M. Huang, and G. Yu, “Adaptive pf scheduling algorithm in lte cellular system,” in Proc. Of International Conf. on Information and Commun. Tech. Convergence, ICTC, Jeju Island, Korea, Nov. 2010, pp. 501 –504.
[11] Mohamad I. Elhadad1, El-Sayed M. El-Rabaie, Mohammed Ab d-Elnaby, “Enhanced PF Scheduling Algorithm for LTE Downlink System”, Mobile Computing Vol. 3 Iss. 1, February 2014
[12] Dejan Talevski and Liljana Gavrilovska, “Novel Scheduling Algorithms for LTE Downlink Transmission”, IEEE Telfor Journal, Vol. 4, No. 1, 2012
[13] 3GPP, TS 36.213 LTE Evolved Universal Terrestrial Radio Access (E-UTRA), Physical layer procedures. Release 13 v. 12.4.0, 02.2016
[14] Ali El Essaili, Damien Schroeder, Eckehard Steinbach,Dirk Staehle and Mohammed Shehada, “QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE”, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 25, Issue: 6, June 2015
Downloads
Published
How to Cite
Issue
Section
License
Authors who submit papers with this journal agree to the following terms.
