Abstract
Recently, mobile communications have been widely used in people’s everyday lives. Their handover process facilitates people to transfer an ongoing call or a data session from one service area to another without conducting any communication interruption. However, in mobile communications, the ping-pong effect is a serious problem since it may cause unnecessary handover and lead to data loss and high computation cost. This is the case when a user equipment (UE) moves between two or among more evolved Node Bases (eNBs), due to signal strength reason, the UE in a very short time period alternatively switches among the eNBs. Consequently, the eNBs bounce the communication link the UE connected to them back and forth. Although several previous researches have been made to mitigate the ping-pong effect, what seems to be lacking is effectively eliminating unnecessary handover. Therefore, in this paper, we propose a fast and simple fuzzy-logic-based handover decision system, named Fuzzy based Low Ping-Pong Effect Handover System (FPEHS for short), to reduce the ping-pong effect in an LTE network. In the FPEHS, five parameters, including current signal-to-noise ratio (SNR), detected SNR, bandwidth of serving eNB, bandwidth of target eNB, and remaining energy of the underlying user’s device, are inputted to the fuzzy logic unit to make handover decision. Our simulation results show that the FPEHS can effectively decrease the ping-pong effect about 92.94 % in average compared with that of the standard LTE’s handover mechanism.
Similar content being viewed by others
References
Barolli L, Xhafa F, Durresi A, Koyama A (2008) A fuzzy-based handover system for avoiding ping-pong effect in wireless cellular networks. In: Proceedings of international conference on parallel processing—workshops, pp 135–142
Behjati M, Cosmas J (2013) Self-organizing network interference coordination for future LTE-advanced networks. In: Proceedings of IEEE international symposium on broadband multimedia systems and broadcasting, pp 1–5
Bernardo D, Hagras H, Tsang E (2013) A genetic type-2 fuzzy logic based system for the generation of summarised linguistic predictive models for financial applications. Soft Comput 17(12):2185–2201
Bien VQ, Prasad RV, Niemegeers I (2010) Handoff in radio over fiber indoor networks at 60 GHz. J Wireless Mobile Netw ubiquitous Comput Dependable Appl 1(2/3):71–82
Feng Y, Xie L, Chen L, Wang K (2013) A low complexity fuzzy-logic-control-based vertical handoff decision algorithm with rough set theory. In: Proceedings of international conference on wireless communications & signal processing, Hangzhou, pp 1–6
Ghanem K, Alradwan H, Motermawy A, Ahmad A (2012) Reducing ping-pong handover effects in intra EUTRA networks. In: Proceedings of international symposium on communication systems, networks & digital signal processing, pp 1–5
Herman B, Petrov D, Puttonen J, Kurjenniemi J (2013) A3-based measurements and handover model for NS-3 LTE. In: Proceedings of international conference on mobile services, resources, and users, pp 20–23
Kim JH, Oh SJ (2000) A fuzzy PID controller for nonlinear and uncertain systems. Soft Comput 4(2):123–129
Leu FY, Liu JC, Hsu YT, Huang YL (2014) The simulation of an emotional robot implemented with fuzzy logic. Soft Comput 18(9):1729–1743
Lin CC, Sandrasegaran K, Zhu X, Xu Z (2013) Limited comp handover algorithm for LTE-advanced. J Eng 2013:1–9 Article ID 462416
Lobinger A, Stefanski S, Jansen T, Balan I (2011) Coordinating handover parameter optimization and load balancing in LTE self-optimizing networks. In: Proceedings of IEEE vehicular technology conference, pp 1–5
Monil MAH, Qasim R, Rahman RM (2013) Speed and direction based fuzzy handover system. In: Proceedings of IEEE international conference on fuzzy systems, pp 1–8
Rasmussen LK, Oppermann IJ (2003) Ping-pong effects in linear parallel interference cancellation for CDMA. IEEE Trans Wireless Commun 2(2):357–363
Roessler A, Kottkamp M (2013) LTE-advanced (3GPP Rel. 11) technology introduction, ROHDE & SCHWARZ
Sharma M, Khola RK (2012) Fuzzy logic based handover decision system. Int J Ad hoc Sens Ubiquitous Comput 3(4):21–29
Srivastava V, Tripathi BK, Pathak VK (2014) Biometric recognition by hybridization of evolutionary fuzzy clustering with functional neural networks. J Ambient Intell Human Comput 5(4):525– 537
Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern SMC–15(1):116–132
Wang J, Chen X, Ma H, Tang Q, Li J, Zhu H (2012) A verifiable fuzzy keyword search scheme over encrypted data. J Internet Serv Inf Secur 2(1/2):49–58
Wu G, Liu Z, Yao L, Xu Z, Wang W (2013) A fuzzy-based trust management in WSNs. J Internet Serv Inf Secur 3(3/4):124–135
Xia L, Jiang L, He C (2007) A novel fuzzy logic vertical handoff algorithm with aid of differential prediction and pre-decision method. In: Proceedings of IEEE international conference on communications, pp 5665–5670
Yan Z, Zhou H, You I (2010) N-NEMO: a comprehensive network mobility solution in proxy mobile IPv6 network. J Wireless Mobile Netw Ubiquitous Comput Dependable Appl 1(2/3):52–70
Yang T, Rong P (2011) A fuzzy logic vertical handoff algorithm with motion trend decision. In: Proceedings of international forum on strategic technology, pp 1280–1283
Yan X, Sekercioglu YA, Mani N (2008) A method for minimizing unnecessary handovers in heterogeneous wireless networks. In: Proceedings of international symposium on world of wireless, mobile and multimedia networks, pp 1–5
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zahran AH, Liang B, Saleh A (2006) Signal threshold adaptation for vertical Handoff in heterogeneous wireless networks. J Mobile Netw Appl 11(4):625–640
Zhang P, Durresi A, Barolli L (2013) Policy-based mobility in heterogeneous networks. J Ambient Intell Human Comput 4(3):331–338
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by A. Jara, M.R. Ogiela, I. You and F.-Y. Leu.
Rights and permissions
About this article
Cite this article
Tsai, KL., Liu, HY. & Liu, YW. Using fuzzy logic to reduce ping-pong handover effects in LTE networks. Soft Comput 20, 1683–1694 (2016). https://doi.org/10.1007/s00500-015-1655-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-015-1655-z