(1811-4829) Fuzzy based efficient DBS placement in the 5G cellular network

Abstract

Currently, cellular networks are one of the essential communication methods for people. Providing proper coverage forthe users and also offering high-quality services to them are two of the most important issues of concern in cellularnetworks. The fi fth-generation cellular communication networks can provide higher data transmission rates, which leadto a higher quality of service but this higher rate has let to reduced antenna coverage in these networks. Besides this,natural and unnatural events in the environment can also affect the coverage of users in the cellular network. One wayto resolve this issue is by using drones as cellular antennas. The most important factor in providing good coverageand high-quality service for users is the optimal placement of antennas. In this article, the problem of fi nding theappropriate locations of drone base stations (DBSs) is modeled as a P-median optimization problem, where P is thenumber of required antennas to cover the users. We have used a fuzzy clustering algorithm to define a set of specifi edcandidate points that are required to select the locations of DBSs in the P-median model. The optimal value of P wasobtained using the bisection algorithm. Finally, the optimal positions of DBSs have been determined by solving theoptimization problem. According to the results, in the case of a proper selection of fuzzy clustering parameters, betterresults will be obtained in comparison to the results of other approaches.