Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network

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Achmad Rizal Danisya
Rendy Munadi
Sofia Naning Hertiana


The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.


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How to Cite
A. R. Danisya, R. Munadi, and S. N. Hertiana, “Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network”, INFOTEL, vol. 10, no. 1, pp. 1-6, Feb. 2018.


[1] L. Christoph and S. Nokia, "Eu Fp7 Strep Socrates," pp. 700–700.
[2] S. Hämäläinen, H. Sanneck, and C. Sartori, LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency. 2012.
[3] S. Zinno, G. Di Stasi, S. Avallone, G. Ventre, and N. Federico, "A Load Balancing Algorithm against DDoS Attacks in Beyond 3G Wireless Networks," 2009.
[4] R. Kwan, R. Arnott, R. Paterson, R. Trivisonno, and M. Kubota, "On mobility load balancing for LTE systems," IEEE Veh. Technol. Conf., no. 3, pp. 2–6, 2010.
[5] Z. Altman, S. Sallem, R. Nasri, B. Sayrac, and M. Clerc, "Particle swarm optimization for Mobility Load Balancing SON in LTE networks," 2014 IEEE Wirel. Commun. Netw. Conf. Work. WCNCW 2014, no. 1, pp. 172–177, 2014.
[6] C. Gang, M. Fanfan, and S. Li, "QoS-priority based load balancing algorithm for LTE systems with mixed users," J. China Univ. Posts Telecommun., vol. 22, no. 3, pp. 9–17, 2015.
[7] E. J. C. De La-roque, C. Patrick, C. Renato, and L. Francês, "A New Cell Selection and Handover Approach in Heterogeneous LTE Networks Additional Criteria Based on Capacity Estimation and User Speed," no. c, pp. 57–65, 2015.
[8] S. Hahn, D. M. Rose, and T. Kürner, "Mobility Load Balancing – A Case Study?: Simplified vs . Realistic Scenarios," Euro-Cost, 2014.
[9] A. Hikmaturokhman, V. Lutfita, and A. R. Danisya, "4G-LTE 1800 Mhz coverage and capacity network planning using Frequency Reuse 1 model for rural area in Indonesia," in ACM International Conference Proceeding Series, 2017.
[10] ns-3 Model Library. 2016.
[11] X. Zhang, LTE Optimization Engineering Handbook. 2017.
[12] T. Yamamoto, T. Komine, and S. Konishi, "Mobility Load Balancing Scheme based on Cell Reselection," Eighth Int. Conf. Wirel. Mob. Commun. Mobil., no. c, pp. 381–387, 2012.
[13] S. Dahlman, Parkvall, 4G LTE-Advanced for Mobile Broadband. 2011.
[14] C. R. Shalizi, "Advanced data analysis from an elementary point of view," B. Manuscr., p. 801, 2013.
[15] T. Specification, "TS 136 133 - V12.7.0 - LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Requirements for support of radio resource management (3GPP TS 36.133 version 12.7.0 Release 12)," vol. 0, 2015.