Joint Optimization of Power and Location in Full-Duplex UAV Enabled Systems
| Autor: | Zhaohui Yang, Seyed Ali Ghorashi, Amirhosein Hajihoseini Gazestani, Mohammad Shikh-Bahaei |
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| Rok vydání: | 2022 |
| Předmět: |
021103 operations research
Computer Networks and Communications Iterative method Computer science Quality of service Real-time computing 0211 other engineering and technologies 02 engineering and technology Spectral efficiency Computer Science Applications Power (physics) Base station Transmission (telecommunications) Control and Systems Engineering Telecommunications link Electrical and Electronic Engineering Convex function Information Systems |
| Zdroj: | IEEE Systems Journal. 16:914-921 |
| ISSN: | 2373-7816 1932-8184 |
| DOI: | 10.1109/jsyst.2020.3036275 |
| Popis: | Unmanned aerial vehicles (UAVs) can be used as aerial base stations (BSs) for future small cells. They can increase the spectral efficiency of the small cells due to their higher probability to have line-of-sight (LOS) connections and their mobility as a BS. In this article, in order to show the effectiveness of using full-duplex (FD) technology in UAV networks, we consider a UAV equipped with FD technology (FD-UAV) with imperfect self-interference cancelation as an aerial BS that serves both uplink (UL) and downlink (DL) users simultaneously in a small cell network. We aim to maximize DL sum-rate, whilst prescribing a certain quality of service for UL users, by optimizing the location of FD-UAV and available resources. The problem is nonconvex; so we propose an iterative method by exploiting the difference of convex functions programming to jointly optimize transmission power of users, FD-UAV location, and FD-UAV transmission power. Simulation results are illustrated to show the effectiveness of the proposed method for FD-UAV in comparison with ground BS, in both FD and half-duplex modes. |
| Databáze: | OpenAIRE |
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