| Title |
Cooperative Beam Selection Algorithm using Position Fingerprint Database in UAV Supported Cellular-connected Systems |
| Authors |
심윤아(Yuna Sim) ; 신승석(Seungseok Sin) ; 조지훈(Jihun Cho) ; 문상미(Sangmi Moon) ; 황인태(Intae Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.3.3 |
| Keywords |
Cellular-connected system; Cumulative distribution function; Coorperative beam selection; Fingerpint database; Signal-to-interference-plus-noise ratio; Spectral efficiency; Unmanned aerial vehicle |
| Abstract |
Due to its high altitude and mobility characteristics, unmanned aerial vehicle (UAV) is attracting attention as a key element of new radio (NR) systems as they can exceed the limits of terrestrial networks. However, high line-of-sight (LOS) probability due to high altitude can be greatly affected by interference between different cells. Accordingly, this paper proposes an algorithm that select optimal beam to reduce the impact of interference, and maximize transmission efficiency. The proposed algorithm consists largely of two steps. According to the user type presented in this paper, it is divided into a process of constructing a user position-based fingerprint database and a process of cooperative beam selection process. Simulations were conducted based on cellular cooperative downlink systems for performance analysis, and signal-to-interference-plus-noise cumulative distribution function (SINR CDF) and spectral efficiency cumulative distribution function (SE CDF) were used as performance analysis indicators. As a result of performance analysis, it was confirmed that the proposed algorithm can reduce the effect of interference and increase the performance of the desired signal. Also, it was confirmed that it is an efficient algorithm that considers overhead and system costs by reducing the amount of resources required for information exchange. |