With the advancing 5G technology of base stations mounted on aerial platforms, such as unmanned aerial vehicles, the issue of coverage area, capacity and inter-cell interference is assuming higher importance for the cellular networks. In this paper, we follow a deterministic approach to analyze these problems using the data obtained from a commercial software for wireless electromagnetic wave propagation. We analyze the above mentioned parameters by varying the threshold of the received power. Also, we find an optimal altitude and power consumption model for an aerial base station. Simulations were carried out in three generalized environments, Suburban, Urban and Urban High Rise, developed according to ITU-R parameters. To derive these results we used an air-to-ground channel model obtained from the analysis of simulation data.

Coverage, capacity and interference analysis for an aerial base station in different environments

Sharma, Navuday;Magarini, Maurizio
2017-01-01

Abstract

With the advancing 5G technology of base stations mounted on aerial platforms, such as unmanned aerial vehicles, the issue of coverage area, capacity and inter-cell interference is assuming higher importance for the cellular networks. In this paper, we follow a deterministic approach to analyze these problems using the data obtained from a commercial software for wireless electromagnetic wave propagation. We analyze the above mentioned parameters by varying the threshold of the received power. Also, we find an optimal altitude and power consumption model for an aerial base station. Simulations were carried out in three generalized environments, Suburban, Urban and Urban High Rise, developed according to ITU-R parameters. To derive these results we used an air-to-ground channel model obtained from the analysis of simulation data.
2017
Proceedings of the International Symposium on Wireless Communication Systems
9781538629130
Aerial Base Station; Air-to-Ground Channel; Cell Coverage; LAP; Optimal Altitude; Power Consumption Model; Ray Tracing; SINR analysis; Computer Networks and Communications; Electrical and Electronic Engineering; Communication
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1052799
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