naa a22 4500 510797709 CHVBK 20180411083342.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1036-9 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1036-9 Base Station Placement for Dynamic Traffic Load Using Evolutionary Algorithms [Elektronische Daten] [N. Lakshminarasimman, S. Baskar, A. Alphones, M. Iruthayarajan] In this paper, dynamic traffic load is considered to determine optimal location of base station (BS) using evolutionary optimization algorithms. The various parameters such as site coordinates (x, y), transmitting power, height and tilt are taken as design parameters for BS placement. Coverage maximization and cost minimization are considered as two conflicting objectives with inequality constraints such as handover, traffic demand and overlap. RGA and MNSGA-II algorithms are used to solve single objective and multiobjective BS placement problem respectively. A $$2 \times 2\, \text{ km}^{2}$$ synthetic test system is discretized as hexagonal cell structure for simulation purposes. Receiving field strength for all service testing points is calculated using simulations and path loss is calculated using Hata model. In dynamic traffic model, both vehicle and pedestrian movements in up and side directions are considered. Dynamic movement is achieved by randomly moving vehicles and pedestrians for a fixed speed in each sample time. The results show that the RGA is able to determine the optimal BS location after considering the dynamic traffic load and satisfying inequality constraints for both coverage maximization and cost objectives. MNSGA-II algorithm gives well distributed pareto-front for the multiobjective BS placement in single simulation run. The simulation results reveal that the proposed dynamic traffic model is suitable for the real world BS placement problem. Springer Science+Business Media New York, 2013 Base station placement nationallicence Cellular network planning nationallicence Multiobjective optimization nationallicence Non-dominated sorting genetic algorithm (NSGA-II) nationallicence Dynamic traffic model nationallicence Moving traffic load nationallicence Lakshminarasimman N. Department of Computer Science and Engineering, K.L.N. College of Engineering, Pottapalayam, Madurai, Tamilnadu, India aut Baskar S. Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, 625015, Madurai, India aut Alphones A. Division of Communication Engineering, Office: S2.2-B2-19, School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang, Singapore aut Iruthayarajan M. Department of Electrical and Electronic Engineering, National Engineering College, Kovilpatti, India aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 671-691 0929-6212 72:1<671 2013 72 11277 https://doi.org/10.1007/s11277-013-1036-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1036-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lakshminarasimman N. Department of Computer Science and Engineering, K.L.N. College of Engineering, Pottapalayam, Madurai, Tamilnadu, India aut NATIONALLICENCE 700 1- Baskar S. Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, 625015, Madurai, India aut NATIONALLICENCE 700 1- Alphones A. Division of Communication Engineering, Office: S2.2-B2-19, School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang, Singapore aut NATIONALLICENCE 700 1- Iruthayarajan M. Department of Electrical and Electronic Engineering, National Engineering College, Kovilpatti, India aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 671-691 0929-6212 72:1<671 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer