| Title |
Load Balancing Algorithm for High Spectral Efficiency in UAV-enabled Massive MIMO Systems |
| Authors |
신승석(Seungseok Sin) ; 심윤아(Yuna Sim) ; 마진아(Jina Ma) ; 김지형(Jihyung Kim) ; 문상미(Sangmi Moon) ; 황인태(Intae Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.11.16 |
| Keywords |
Beam selection with load balancing; Cumulative distribution function; Fingerpint database; Signal-to-interference-plus-noise ratio; Spectral efficiency; Unmanned aerial vehicle |
| Abstract |
Unmanned Aerial Vehicle (UAV) is attracting attention as a key element of the NR (New Radio) system as it can exceed the limits of the ground network to prepare for the rapidly increasing data usage and create new application services. However, high-altitude UAVs have a high Line-Of-Sight (LOS) probability, resulting in interference problems between adjacent cells in multi-cell networks. Therefore, this paper proposes an algorithm that selects the optimal beam to reduce the impact of interference and ensure high transmission efficiency. Specifically, the proposed algorithm consists of the process of building a fingerprint database and the process of selecting a load balancing beam. Simulations were conducted based on the downlink system for performance analysis, and Signal-to-Interference-plus-Noise Ratio 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 efficiently uses the necessary resources, reduces the impact of interference, and increases the performance of the desired signal. |