Önem YILDIZ, Radosveta İvanova SOKULLU

Mobility and traffic-aware resource scheduling for downlink transmissions in LTE-A systems

As new cellular networks support not only voice services but also many multimedia applications, therequirements for reliable data transmission at high speeds create heavy load on the system. Even though LTE/LTEA technology takes action towards alleviating this load, it is still necessary to manage resources effectively becauseof the inadequacy of the available radio resources. Thus, the scheduler at the MAC layer of the base station playsa very important role in resource allocation to the user. In this study a novel algorithm for resource allocation inmobile environments is presented, with two variations addressing different input traffic. The idealized case (I-MASalgorithm) relates to the full-buffer model, while the realistic case (R-MAS algorithm) takes into consideration the specificcharacteristics of the incoming user traffic. The paper includes performance evaluation of the suggested algorithms interms of mean and edge throughput, system fairness, and BLER and comparison with well-known algorithms like theround robin (RR) and best CQI (B-CQI) (full-buffer model) and their extensions for real-life traffic models, RR Trafficand B-CQI Traffic, respectively. When the simulation results are examined, it can be seen that the I-MAS and R-MASalgorithms maximize the throughput while at the same time distributing the resources fairly among the users. They alsoprove to be quite robust in mobile environments even at higher user speeds.

PDF

___

[1] AlQahtani SA, AlHassany M. Performance modeling and evaluation of novel scheduling algorithm for LTE networks. In: 2013 IEEE 12th International Symposium on Network Computing and Applications; 22–24 August 2013; Cambridge, MA, USA. New York, NY, USA: IEEE. pp. 101-105.
[2] Kwan R, Leung C, Zhang J. Proportional fair multiuser scheduling in LTE. IEEE Signal Processing Letters 2009; 16: 461-464.
[3] Hussain S. Dynamic radio resource management in 3GPP LTE. MSc, Blekinge Institute of Technology. Karlskrona, Sweden, 2009.
[4] Capozzi F, Piro G, Grieco LA, Boggia G, Camarda P. Downlink packet scheduling in LTE cellular networks: key design issues and a survey. IEEE Communications Surveys & Tutorials 2013; 15: 678-700.
[5] Dikamba T. Downlink scheduling in 3GPP long term evolution (LTE). MSc, Delft University of Technology, Delft, the Netherlands, 2011.
[6] Trivedi RD, Patel MC. Comparison of different scheduling algorithm for LTE. International Journal of Emerging Technology and Advanced Engineering 2014; 4 (5): 334-339.
[7] Lima FR, Rodrigues EB, Maciel TF, Nordberg M. Resource Allocation for Improved User Satisfaction with Applications to LTE. Resource Allocation and MIMO for 4G and Beyond. New York, NY, USA: Springer, 2014.
[8] Zain ASM, Malek MFA, Elshaikh M, Omar N, Hussain AST. Performance analysis of scheduling policies for VoIP traffic in LTE-advanced network. In: 2015 International Conference on Computer, Communications, and Control Technology; 21–23 April 2015; Kuching, Malaysia. New York, NY, USA: IEEE. pp. 16-20.
[9] Samia D, Ridha B. A new scheduling algorithm for real-time communication in LTE networks. In: 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops; 24–27 March 2015; Gwangiu, South Korea. New York, NY, USA: IEEE. pp. 267-271.
[10] Shams AB, Abied SR, Hossain MF. Performance comparison of network layouts with mobile users under different resource scheduling techniques in downlink LTE. In: 2016 5th International Conference on Informatics, Electronics and Vision; 13–14 May 2016; Dhaka, Bangladesh. New York, NY, USA: IEEE. pp. 949-954.
[11] Dardouri S, Bouallegue R. Comparative study of downlink packet scheduling for LTE networks. Wireless Personal Communications 2015; 82: 1405-1418.
[12] Chayon HR, Dimyati KB, Ramiah H, Reza AW. Enhanced quality of service of cell-edge user by extending modified largest weighted delay first algorithm in LTE networks. Symmetry 2017; 9: 81. doi: 10.3390/sym9060081
[13] Dardouri S, Bouallegue R. Comparative study of scheduling algorithms for LTE networks. World Academy of Science, Engineering, and Technology International Journal of Computer, Information Science, and Engineering 2014; 8: 436-441.
[14] Jain R, Chiu DM, Hawe WR. A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer System. Hudson, MA, USA: Eastern Research Laboratory, Digital Equipment Corporation, 1984.
[15] T-Mobile. LTE Physical Layer Framework for Performance Verification. R1-070674, 3GPP TSG RAN, 48. St Louis, MO, USA: T-Mobile, 2007.
[16] Rupp M, Schwarz S, Taranetz M. The Vienna LTE-Advanced Simulators. Singapore: Springer, 2016.