ETRI Journal

  • 제36권5호
  • /
  • Pages.761-771
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  • 2014
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Congestion-Aware Handover in LTE Systems for Load Balancing in Transport Network

  • 투고 : 2013.10.14
  • 심사 : 2014.05.27
  • 발행 : 2014.10.01
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초록

Long-Term Evolution employs a hard handover procedure. To reduce the interruption of data flow, downlink data is forwarded from the serving eNodeB (eNB) to the target eNB during handover. In cellular networks, unbalanced loads may lead to congestion in both the radio network and the backhaul network, resulting in bad end-to-end performance as well as causing unfairness among the users sharing the bottleneck link. This work focuses on congestion in the transport network. Handovers toward less loaded cells can help redistribute the load of the bottleneck link; such a mechanism is known as load balancing. The results show that the introduction of such a handover mechanism into the simulation environment positively influences the system performance. This is because terminals spend more time in the cell; hence, a better reception is offered. The utilization of load balancing can be used to further improve the performance of cellular systems that are experiencing congestion on a bottleneck link due to an uneven load.

키워드

참고문헌

  1. L. Yun et al., "Dynamic Optimization of Handover Parameters Adjustment for Conflict Avoidance in Long Term Evolution," China Commun., vol. 10, no. 1, Jan. 2013, pp. 56-71.
  2. N.N. Rapiei et al., "Handover Mechanism in Dynamic Load Balancing for LTE System," IEEE Symp. Wireless Technol. Appl., Bandung, Indonesia, Sept. 23-26, 2012, pp. 43-47.
  3. 3GPP Technical Specification 36.331 V 11.3.0, Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); Protocol Specification, Mar. 2013.
  4. Z. Shu et al., "Fast and Accurate Velocity Estimation for OFDM System Based on Channel Frequency Response," IEEE Veh. Technol. Conf., Yokohama, Japan, May 15-18, 2011, pp. 1-5.
  5. L. Zhao and J.W. Mark, "Mobile Speed Estimation Based on Average Fade Slope Duration," IEEE Trans. Commun., vol. 52, no. 12, Dec. 2004, pp. 2066-2069. https://doi.org/10.1109/TCOMM.2004.836591
  6. Y.R. Zheng and C. Xiao, "Mobile Speed Estimation for Broadband Wireless Communications over Rician Fading Channels," IEEE Trans. Wireless Commun., vol. 8, no. 1, Jan. 2009, pp. 1-5. https://doi.org/10.1109/T-WC.2009.070140
  7. A. Abdi, H. Zhang, and C. Tepedelenlioglu, "A Unified Approach to the Performance Analysis of Speed-Estimation Technique in Mobile Communication," IEEE Trans. Commun., vol. 55, no. 12, Dec. 2007, p. 2381.
  8. Y. Lee et al., "Effects of Time-to-Trigger Parameter on Handover Performance in SON-Based LTE System," Asia-Pacific Conf. Commun., Auckland, New Zealand, Oct. 31-Nov. 3, 2010, pp. 492-496.
  9. J. Alonso-Rubio, "Self-optimization for Handover Oscillation Control in LTE," IEEE Netw. Operations Manag. Symp., Osaka, Japan, Apr. 19-23, 2010, pp. 950-953.
  10. T. Jansen et al., "Handover Parameter Optimization in LTE Selforganizing Networks," IEEE Veh. Technol. Conf., Ottawa, Canada, Sept. 6-9, 2010, pp. 1-5.
  11. H. Zhang et al., "A Novel Self-optimizing Handover Mechanism for Multi-service Provisioning in LTE-Advanced," Int. Conf. Res. Challenges Comput. Sci., Shanghai, China, Dec. 28-29, 2009, pp. 221-224.
  12. J. Gu et al., "Mobility-Based Handover Decision Mechanism to Relieve Ping-Pong Effect in Cellular Networks," Asia-Pacific Conf. Commun., Auckland, New Zealand, Oct. 31-Nov. 3, 2010, pp. 487-491.
  13. 3GPP Technical Specification 36.300 V 11.5.0, Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall Description; Stage 2, Mar. 2013.
  14. O.K. Tonguz and E. Yanmaz, "The Mathematical Theory of Dynamic Load Balancing in Cellular Networks," IEEE Trans. Mobile Comput., vol. 7, no. 12, Dec. 25, 2008, pp. 1504-1518. https://doi.org/10.1109/TMC.2008.66
  15. K. Son, S. Chong, and G. Veciana, "Dynamic Association for Load Balancing and Interference Avoidance in Multi-cell Networks," IEEE Trans. Wireless Commun., vol. 8, no. 7, July 2009, pp. 3566-3576.
  16. A.S. Adeyemi and D.U. Ike, "A Review of Load Balancing Technique in 3GPP LTE System," Int. J. Comput. Sci. Eng., vol. 2, no. 4, July 4, 2013, pp. 112-116.
  17. Y. Yang, P. Li, and W. Wang, "Algorithm about Mobility Load Balance Considering System Overhead on LTE System," Wireless Opt. Commun. Conf., Chongqing, China, May 16-18, 2013, pp. 231-235.
  18. L. Zhao et al., "Joint Load Balancing of Radio and Transport Networks in LTE System," Int. Conf. Ubiquitous Future Netw., Dalian, China, June 15-17, 2011, pp. 65-70.
  19. Y. Zaki et al., "Long Term Evolution (LTE) Model Development within OPNET Simulation Environment," OPNET Workshop, Washington, DC, USA, Aug. 29-Sept. 1, 2011.
  20. M. Anas et al., "Performance Evaluation of Received Signal Strength Based Hard Handover for UTRAN LTE," IEEE Veh. Technol. Conf., Dublin, Ireland, Apr. 22-25, 2007, pp. 1046-1050.
  21. S. Shalunov and B. Teitelbaum, "One-Way Active Measurement Protocol (OWAMP) Requirements," The Internet Eng. Task Force (IETF), RFC 3763, Apr. 2004.
  22. J.K. Cavers, Mobile Channel Characteristics, Dordrecht, Netherlands: Kluwer Academic Publishers, 2002.
  23. S.N.K. Marwat et al., "Performance Evaluation of Bandwidth and QoS Aware LTE Uplink Scheduler," Int. Conf. Wired/Wireless Internet Commun., Santorini, Greece, vol. 7277, June 6-8, 2012, pp. 298-306.

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