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New Weight Function for Adapting Handover Margin Level over Contiguous Carrier Aggregation Deployment Scenarios in LTE-Advanced System

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Abstract

In this paper, an Adaptive Handover Margin algorithm based on Novel Weight Function (AHOM-NWF) is proposed through Carrier Aggregation operation in Long Term Evolution—Advanced system. The AHOM-NWF algorithm automatically adjusts the Handover Margin level based on three functions, \(f(SINR), \; f(TL)\; {\text{and}}\; f(v)\), which are evaluated as functions of Signal-to-Interference-plus-Noise-Ratio (SINR), Traffic Load \((TL)\), and User’s velocity \((v)\) respectively. The weight of each function is taken into account in order to estimate an accurate margin level. Furthermore, a mathematical model for estimating the weight of each function is formulated by a simple model. However, AHOM-NWF algorithm will contribute for the perspective of SINR improvement, cell edge spectral efficiency enhancement and outage probability reduction. Simulation results have shown that the AHOM-NWF algorithm enhances system performance more than the other considered algorithms from the literature by 24.4, 14.6 and 17.9%, as average gains over all the considered algorithms in terms of SINR, cell edge spectral efficiency and outage probability reduction respectively.

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References

  1. Sawant, S. S., & Vernekar, N. K. (2013). Adaptive distance handover scheme in mobile WiMax. International Journal on Advanced Computer Theory and Engineering (IJACTE), 2(3), 87–91.

    Google Scholar 

  2. Itoh, K. I., Watanabe, S., Shih, J. S., & Sato, T. (2002). Performance of handoff algorithm based on distance and RSSI measurements. IEEE Transactions on Vehicular Technology, 51(6), 1460–1468.

    Article  Google Scholar 

  3. Halgamuge, M. N., Hai, V. L., Rarnamohanarao, K., & Zukerman, M. (2005). Signal-based evaluation of handoff algorithms. IEEE Communications Letters, 9(9), 790–792.

    Article  Google Scholar 

  4. Pollini, G. P. (1996). Trends in handover design. IEEE Communications Magazine, 34(3), 82–90.

    Article  Google Scholar 

  5. Kemeng, Y., Gondal, I., Qiu, B., & Dooley, L. S. (2007). Combined SINR based vertical handoff algorithm for next generation heterogeneous wireless networks. In Proc. of 7th Int. IEEE global telecommunications conference (GLOBECOM ‘07) (pp. 4483–4487), November 26–30, 2007.

  6. Kemeng, Y., Qiu, B., & Dooley, L. S. (2007). Using SINR as vertical handoff criteria in multimedia wireless networks. In Proc. of IEEE int. conference on multimedia and expo (pp 967–970), July 2–5, 2007.

  7. Ayyappan, K. Narasimman, K., & Dananjayan, P. (2009). SINR based vertical handoff scheme for QoS in heterogeneous wireless networks. In Proc. of 1st int. conference on future computer and communication (ICFCC 2009) (pp. 117–121), April 3–5, 2009.

  8. Bathich, A. A., Baba, M. D., & Rahman, R. (2011). SINR based media independent handover in WiMAX and WLAN networks. In Proc. of IEEE int conference on computer applications and industrial electronics (ICCAIE2011) (pp 331–334), December 4–7, 2011.

  9. Hyun-Ho, C. (2010). An optimal handover decision for throughput enhancement. IEEE Communications Letters, 14(9), 851–853.

    Article  Google Scholar 

  10. Huamin, Z., & Kyung-sup, K. (2007). Performance analysis of an adaptive handoff algorithm based on distance information. Computer Communications, 30(6), 1278–1288.

    Article  Google Scholar 

  11. Lal, S., & Panwar, D. K. (2007) Coverage analysis of handoff algorithm with adaptive hysteresis margin. In Proc. of 10th. IEEE int conference on information technology, (ICIT 2007) (pp 133–138), December 17–20, 2007.

  12. Lee, D.-W., Gil, G.-T., & Kim, D.-H. (2010). A cost-based adaptive handover hysteresis scheme to minimize the handover failure rate in 3GPP LTE system. EURASIP Journal on Wireless Communications and Networking, 2010(1), 1–7.

    Google Scholar 

  13. Huang, Y.-F., Chen, H.-C., Chu, H.-C., Liaw, J.-J., & Gao, F.-B. (2010). Performance of adaptive hysteresis vertical handoff scheme for heterogeneous mobile communication networks. Journal of Networks, 5(8), 977–983.

    Google Scholar 

  14. Zhu, H., & Kwak, K. S. (2006). An adaptive hard handoff algorithm for mobile cellular communication systems. ETRI Journal, 28(5), 676–679.

    Article  Google Scholar 

  15. Sinclair, N., Harle, D., Glover, I. A., Irvine, J., & Atkinson, R. C. (2013). An advanced SOM algorithm applied to handover management within LTE. IEEE Transactions on Vehicular Technology, 62(5), 1883–1894.

    Article  Google Scholar 

  16. Ghanem, K., Alradwan, H., Motermawy, A., & Ahmad, A. (2012) Reducing ping-pong handover effects in intra EUTRA networks. In Proc. of 8th int. symposium on communication systems, networks & digital signal processing (CSNDSP2012) (pp. 1–5) July 18–20, 2012.

  17. Yifan, Z., Muqing, W., Shunming, G., Linlin, L., & Ankang, Z. (2012). Optimization of time-to-trigger parameter on handover performance in LTE high-speed railway networks. In Proc. of 15th int. symposium on wireless personal multimedia communications (WPMC-2012) (pp. 251–255), September 24–27, 2012.

  18. Ewe, L., & Bakker, H. (2011). Base station distributed handover optimization in LTE self-organizing networks. In Proc. of 15th int. symposium on personal indoor and mobile radio communications (PIMRC 2011) (pp. 243–247), September 11–14, 2011.

  19. GPP Team (2011). Evolved universal terrestrial radio access network; Self-configuring and self-optimizing network (SON) use cases and solutions (Release 9). In TR 36.902 V9.3.1. http//:ww.3gpp.org/.

  20. Legg, P., Gao, H., & Johansson, J. (2010). A simulation study of LTE intra-frequency handover performance. In Proc. of 72nd int. IEEE vehicular technology conference fall (VTC 2010-Fall) (pp. 1–5), September 6–9, 2010.

  21. Zhenzhen, W. (2010). Mobility robustness optimization based on UE mobility for LTE system. In Proc. about int. conference on wireless communications and signal processing (WCSP 2010) (pp. 1–5), October 21–23, 2010.

  22. Haijun, Z., Xiangming, W., Bo, W., Wei, Z., & Yong, S. () A novel handover mechanism between Femtocell and Macrocell for LTE based networks. In 2010 Proc. of 2nd int. conference on communication software and networks, (ICCSN ‘10) (pp. 228–231), February 26–28, 2010.

  23. Hao, C., Liu, H., & Zhan, J. (2009). A velocity-adaptive handover scheme for mobile WiMAX. International Journal of Communications Network & System Sciences (IJCNS), 2(9), 874–878.

    Article  Google Scholar 

  24. Anwar, M. I., Khosla, A., & Sood, N. (2010). A mobility improvement handover scheme for mobile-WiMAX. International Journal of Computer Applications, 11(3), 28–31.

    Article  Google Scholar 

  25. Haijun, Z., Xiangming, W., Bo, W., Wei, Z., & Zhaoming, L. (2009). A novel self-optimizing handover mechanism for multi-service provisioning in LTE-advanced. In Proc. of IEEE int. conference on research challenges in computer science (ICRCCS ‘09) (pp. 221–224), December 28–29, 2009.

  26. Nasri, R., & Altman, Z. (2007). Handover adaptation for dynamic load balancing in 3GPP long term evolution systems. In Proc. of int. conference on advances in mobile computing & multimedia (MoMM’07) (pp. 145–153).

  27. Yang, F., et al. (2015). Handover optimization algorithm in LTE high-speed railway environment. Wireless Personal Communications, 84, 577–1589.

    Google Scholar 

  28. Park, M.-H., & Joo, Y.-I. (2015). Efficient Handover Strategy for Inbound Mobility to LTE Small Cell. Wireless Personal Communications, 82, 1435–1447.

    Article  Google Scholar 

  29. Vu, T.-T., Decreusefond, L., & Martins, P. (2014). An analytical model for evaluating outage and handover probability of cellular wireless networks. Wireless Personal Communications, 74, 1117–1127.

    Article  Google Scholar 

  30. Lim, J., & Hong, D. (2013). Mobility and handover management for heterogeneous networks in LTE-advanced. Wireless Personal Communications, 72, 2901–2912.

    Article  Google Scholar 

  31. Munoz, P., Barco, R., & de la Bandera, I. (2013). On the Potential of Handover Parameter Optimization for Self-Organizing Networks. IEEE Transactions on Vehicular Technology, 62(5), 1895–1905.

    Article  Google Scholar 

  32. Saeed, M., El-Ghoneimy, M., & Kamal, H. (2017). An enhanced fuzzy logic optimization technique based on user mobility for LTE handover. In 2017 34th national radio science conference (NRSC), Alexandria (pp. 230–237).

  33. Nasser, N., Hasswa, A., & Hassanein, H. (2006). Handoffs in fourth generation heterogeneous networks. IEEE Communications Magazine, 44(10), 96–103.

    Article  Google Scholar 

  34. Zhu, F., & Mc Nair, J. (2006). Multiservice vertical handoff decision algorithms. EURASIP Journal on Wireless Communications and Networking, 2006, 1–13.

    Google Scholar 

  35. Dongyeon, L., Youngnam, H. & Jinyup, H. (2006) QoS-based vertical handoff decision algorithm in heterogeneous systems. In Proc. of IEEE 17th int. symposium on personal, indoor and mobile radio communications (pp. 1–5), September 11–14, 2006.

  36. SuKyoung, L., Sriram, K., Kyungsoo, K., Yoon, H. K., & Golmie, N. (2009). Vertical handoff decision algorithms for providing optimized performance in heterogeneous wireless networks. IEEE Transactions on Vehicular Technology, 58(2), 865–881.

    Article  Google Scholar 

  37. Rizvi, S., Aziz, A. & Saad, N. M. (2010) Optimizations in vertical handoff decision algorithms for real time services. In Proc. of int. conference on intelligent and advanced systems (ICIAS 2010) (pp. 1–4), June 15–17 2010.

  38. GPP Team (2016). Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) system scenarios (Release 11). In 3GPP TR 36.942 V13.0.0 (2016-01). http://www.3gpp.org/.

  39. Iwamura, M., Etemad, K., Mo-Han, F., Nory, R., & Love, R. (2010). Carrier aggregation framework in 3GPP LTE-advanced [WiMAX/LTE update]. IEEE Communications Magazine, 48(8), 60–67.

    Article  Google Scholar 

  40. GPP Team (2010). Simulation assumptions for Mobility performance in Carrier Aggregation. In R4-102114 NTT DOCOMO, http://www.3gpp.org/.

  41. GPP Team (2010). Carrier aggregation deployment scenarios. In R2-102490 (pp. 1–3). http://www.3gpp.org/.

  42. GPP Team (2017). Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation (Release 11). In 3GPP TS 36.211 V13.6.0 (2017-06) (pp. 1–171). http://www.3gpp.org/.

  43. GPP Team (2017) Evolved Universal Terrestrial Radio Access (E-UTRA); LTE physical layer; General description (Release 11). In 3GPP TS 36.201 V13.3.0 (2017-03). http://www.3gpp.org/.

  44. GPP Team (2014). Evolved Universal Terrestrial Radio Access; Overall description (Release 11). In 3GPP TS 36.300 V13.8.0 (2017-06). http://www.3gpp.org/.

  45. Shayea, I., Ismail, M., & Nordin, R. (2013) Downlink spectral efficiency evaluation with carrier aggregation in LTE-advanced system employing adaptive modulation and coding schemes. In Proc. of IEEE Malaysia int. conference on communications (MICC2013) (pp. 98–103), November 26–28, 2013.

  46. Tjeng, T. T., Chin Choy, C., & Xiaodai, D. (1997). Outage probability for lognormal-shadowed Rician channels. IEEE Transactions on Vehicular Technology, 46(2), 400–407.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics, Electrical and System Engineering, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Ibraheem Shayea, Mahamod Ismail, Rosdiadee Nordin & Nor Fadzilah Abdullah

  2. Electronics and Communication Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU), Istanbul, Turkey

    Ibraheem Shayea & Mustafa Ergen

  3. Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia

    Norulhusna Ahmad

  4. Multimedia University (MMU), Cyberjaya, Malaysia

    Abdulraqeb Alhammadi

  5. MIMOS Berhad, Technology Park Malaysia, 57000, Kuala Lumpur, Malaysia

    Hafizal Mohamad

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  1. Ibraheem Shayea
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Shayea, I., Ismail, M., Nordin, R. et al. New Weight Function for Adapting Handover Margin Level over Contiguous Carrier Aggregation Deployment Scenarios in LTE-Advanced System. Wireless Pers Commun 108, 1179–1199 (2019). https://doi.org/10.1007/s11277-019-06463-2

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