BROWSE
Detail
Journal Article
Beam Selection Algorithm Utilizing Fingerprint DB Based on User Types in UAV Support Systems
Cited 1 time in 
Share 
Share
- Authors
- Jihyung Kim, Yuna Sim, Sangmi Moon, Intae Hwang
- Issue Date
- 2023-09
- Citation
- KSII Transactions on Internet and Information Systems, v.17, no.9, pp.2590-2608
- ISSN
- 1976-7277
- Publisher
- Korea Society of Internet Information
- Language
- English
- Type
- Journal Article
- Abstract
- The high-altitude and mobility characteristics of unmanned aerial vehicles (UAVs) have made them a key element of new radio systems, particularly because they can exceed the limits of terrestrial networks. However, at high altitudes, UAVs can be significantly affected by intercell interference at a high line-of-sight probability. To mitigate this drawback, we propose an algorithm that selects the optimal beam to reduce interference and maximize transmission efficiency. The proposed algorithm comprises two steps: constructing a user-location-based fingerprint database according to the user types presented herein and cooperative beam selection. Simulations were conducted using cellular cooperative downlink systems for analyzing the performance of the proposed method, and the signal-to-interference-plus-noise cumulative distribution function and spectral efficiency cumulative distribution function were used as performance analysis indicators. Simulation results showed that the proposed algorithm could reduce the effect of interference and increase the performance of the desired signal. Moreover, the algorithm could efficiently reduce overheads and system cost by reducing the amount of resources required for information exchange.
- KSP Keywords
- Cumulative Distribution Function(CDF), Downlink systems, Fingerprint database, High altitude, Information Exchange, Key element, Line-Of-Sight(LOS), Location based, Mobility characteristics, Performance analysis, Spectral efficiency(SE)