Two-Dimensional Drone Base Station Placement in Cellular Networks Using MINLP Model

• Autorzy: Taghavi Mina , Abouei Jamshid

Identyfikatory

DOI

10.24425/ijet.2019.130252

• Języki publikacji: EN

Abstrakty

EN

Utilization of drones is going to become predominated in cellular networks as aerial base stations in order to temporary cover areas where stationary base stations cannot serve the users. Detecting optimal location and efficient number of drone-Base Stations (DBSs) are the targets we tackle in this paper. Toward this goal, we first model the problem using mixed integer non-linear programming. The output of the proposed method is the number and the optimal location of DBSs in a two-dimension area, and the object is to maximize the number of covered users. In the second step, since the proposed method is not solvable using conventional methods, we use a proposed method to solve the optimization problem. Simulation results illustrate that the proposed method has achieved its goals.

Słowa kluczowe

EN

5G cellular networks; drone base stations; mobile base stations; node placement

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2019
• Tom: Vol. 65, No. 4
• Strony: 701--706
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr., tab.

Twórcy

autor

Taghavi Mina

• Department of Electrical Engineering, Yazd University, Iran

autor

Abouei Jamshid

• Department of Electrical Engineering, Yazd University, Iran

Bibliografia

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