KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

A Mass-Processing Simulation Framework for Resource Management in Dense 5G-IoT Scenarios

  • Wang, Lusheng (School of Computer and Information, Hefei University of Technology) ;
  • Chang, Kun (School of Computer and Information, Hefei University of Technology) ;
  • Wang, Xiumin (School of Computer Science and Engineering, South China University of Technology) ;
  • Wei, Zhen (School of Computer and Information, Hefei University of Technology) ;
  • Hu, Qingxin (School of Computer and Information, Hefei University of Technology) ;
  • Kai, Caihong (School of Computer and Information, Hefei University of Technology)
  • Received : 2018.03.26
  • Accepted : 2018.05.01
  • Published : 2018.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Because of the increment in network scale and test expenditure, simulators gradually become main tools for research on key problems of wireless networking, such as radio resource management (RRM) techniques. However, existing simulators are generally event-driven, causing unacceptably large simulation time owing to the tremendous number of events handled during a simulation. In this article, a mass-processing framework for RRM simulations is proposed for the scenarios with a massive amount of terminals of Internet of Things accessing 5G communication systems, which divides the time axis into RRM periods and each period into a number of mini-slots. Transmissions within the coverage of each access point are arranged into mini-slots based on the simulated RRM schemes, and mini-slots are almost fully occupied in dense scenarios. Because the sizes of matrices during this process are only decided by the fixed number of mini-slots in a period, the time expended for performance calculation is not affected by the number of terminals or packets. Therefore, by avoiding the event-driven process, the proposal can simulate dense scenarios in a quite limited time. By comparing with a classical event-driven simulator, NS2, we show the significant merits of our proposal on low time and memory costs.

Keywords

References

  1. W. Chin, Z. Fan and R. Haines, "Emerging technologies and research challenges for 5G wireless networks," IEEE Wireless Commun., vol. 21, no. 2, pp. 106-112, April 2014. https://doi.org/10.1109/MWC.2014.6812298
  2. Y. Wang, J. Xu and L. Jiang, "Challenges of system-level simulations and performance evaluation for 5G wireless networks," IEEE Access, vol. 2, pp. 1553-1561, Jan. 2015.
  3. C. Yahiaoui, M. Bouhali and C. Gontrand, "Simulating the long term evolution (LTE) downlink physical Layer," in Proc. of UKSim, pp. 531-535, March 2014.
  4. L. Chenand, W. Chen, B. Wang, X. Zhang, H. Chen and D. Yang, "System-level simulation methodology and platform for mobile cellular systems," IEEE Commun. Mag., vol. 49, no. 7, pp. 148-155, July 2011. https://doi.org/10.1109/MCOM.2011.5936168
  5. http://www.isi.edu/nsnam/ns/
  6. http://www.opnet.com/
  7. http://wsnet.gforge.inria.fr/
  8. A. Hamzi and M. Koudil, "Agent based platform for the design and simulation of wireless sensor networks," in Proc. of International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1-5, May 2012.
  9. H. Chen, L. Cui, H. Zhu and C. Huang, "EasiSim: a scalable simulation platform for wireless sensor network," in Proc. of ICC Workshop, pp. 184-188, May 2008.
  10. E. Capo-Chichi, H. Guyennet, J. Friedt, I. Johnson and C. Duffy, "Design and implementation of a generic hybrid wireless sensor network platform," in Proc. of LCN, pp. 836-840, Oct. 2008.
  11. Z. Qin, G. Denker, C. Giannelli, P. Bellavista and N. Venkatasubramanian, "A software defined networking architecture for the Internet-of-Things," in Proc. of NOMS, pp. 1-9, May 2014.
  12. E. Patti and A. Acquaviva, "IoT platform for smart cities: requirement and implementation case studies," in Proc. of IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), pp. 1-6, Sept. 2016.
  13. http://www.openairinterface.org/
  14. C. Mehlfhrer, M. Wrulich, J. Ikuno and D. Bosanska, "Simulating the long term evolution physical layer," in Proc. of EUSIPCO, pp. 1471-1478, Aug. 2009.
  15. J. Ikuno, M. Wrulich and M. Rupp, "System level simulation of LTE network," in Proc. of IEEE VTC Spring, pp. 1-5, May 2010.
  16. G. Piro, L. Grieco, G. Boggia, F. Capozzi and P. Camarda, "Simulating LTE cellular system: an open-source framework," IEEE Trans. Veh. Technol., vol. 60, no. 2, pp. 498-513, Feb. 2011. https://doi.org/10.1109/TVT.2010.2091660
  17. F. Clermidy, R. Lemaire, X. Popon, D. Ktenas and Y. Thonnart, "An open and reconfigurable platform for 4G telecommunication: concepts and application," in Proc. of Euromicro Conference on Digital System Design, Architectures, Methods and Tools, pp. 449-456, Aug. 2009.
  18. Z. Lei, Z. Ying, A. Chen and C. Liu, "A simulation platform for ZigBee-UMTS hybrid networks," IEEE Commun. Lett., vol. 17, no. 2, pp. 293-296, March 2013. https://doi.org/10.1109/LCOMM.2012.121912.121974
  19. C. Wang, W. Xia, L. Shen and T. Song, "A system level simulation platform for the study of QoS provisioning in UMTS/WLAN interworking," in Proc. of International Conference on Information Science and Engineering, pp. 2518-2521, Dec. 2009.
  20. S. Horrich, S. Jamaa and P. Houze, "Policy based RRM for networkterminal decision sharing," IEEE Veh. Technol. Mag., vol. 2, no. 3, pp. 35-40, Sept. 2007. https://doi.org/10.1109/MVT.2008.915324
  21. A. Eduardo and H. Garzon, "Analysis and simulation of radio resource management for quality service in universal mobile telecommunications system," in Proc. of IEEE ANDESCON, pp. 1-6, Sept. 2010.
  22. A. Virdis, G. Stea and G. Nardini, "SimuLTE - A modular systemlevel simulator for LTE/LTE-A networks based on OMNeT++," in Proc. of International Conference on Simulation and Modeling Methodologies, Technologies and Applications, pp. 59-70, Aug. 2014.
  23. N. Baldo, M. Miozzo, M. Requena-Esteso and J. Nin-Guerrero, "An open source product-oriented LTE network simulator based on ns-3," in Proc. of ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 293-298, Nov. 2011.
  24. E. Soltanmohammadi, K. Ghavami and M. Naraghi-Pour, "A survey of traffic issues in machine-to-machine communications over LTE," IEEE Internet Things J., vol. 3, no. 6, pp. 865-884, Feb. 2016. https://doi.org/10.1109/JIOT.2016.2533541
  25. M. Centenaro and L. Vangelista, "A study on M2M traffic and its impact on cellular networks," in Proc. of IEEE World Forum on Internet of Things (WF-IoT), pp. 154-159, Dec. 2015.
  26. L. Wang, F. Fang, N. Nikaein and L. Cottatellucci, "An analytical framework for multi-layer partial frequency reuse scheme design in mobile communication systems," IEEE Trans. Veh. Technol., vol. 65, no. 9, pp. 7593-7605, Nov. 2015. https://doi.org/10.1109/TVT.2015.2497315
  27. L. Wang, Y. Wang, W. Chen, C. Kai and L. Wu, "Dynamic interference coordination with analytical near-optimum of power allocation toward high user fairness," China Commun., vol. 13, no. 12, pp. 37-48, Dec. 2016. https://doi.org/10.1109/CC.2016.7897553
  28. N. Osman, Y. Wang, A. Niklas, B. Nadia, A. Shehzad and S. Joachim, "Analysis of ultra-reliable and low-latency 5G communication for a factory automation use case," in Proc. of ICC Workshop, pp. 441-446, June 2015.
  29. Technical Specification, "Scenarios, requirements and KPIs for 5G mobile and wireless system," METIS project D1.1.
  30. I. Chih-Lin, S. Han, Y. Chen and G. Li, "Trillions of nodes for 5G!?" in Proc. of IEEE/CIC International Conference on Communications in China (ICCC), pp. 246-250, Oct. 2014.
  31. Y. Yuan and L. Zhu, "Application scenarios and enabling technologies of 5G," China Commun., vol. 11, no. 11, pp. 69-79, Nov. 2014. https://doi.org/10.1109/CC.2014.7004525
  32. Technical Specification, "Components of a new air interface-building blocks and performance," METIS project D2.3.
  33. 5G Americas, "5G channel model for bands up to 100 GHz," White Paper, Feb. 2016.
  34. M. A. Khan, H. Hasbullah and B. Nazir, "Recent open source wireless sensor network supporting simulators: a performance comparison," in Proc. of International conference on Computer, Communications, and Control Technology, pp. 324-328, Sept. 2014.