TY - JOUR
T1 - Joint Optimization of Power and Location in Full-Duplex UAV Enabled Systems
AU - Gazestani, Amirhosein Hajihoseini
AU - Ghorashi, Seyed Ali
AU - Yang, Zhaohui
AU - Shikh-Bahaei, Mohammad
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Full-duplex (FD)
KW - location optimization
KW - Optimization
KW - power allocation
KW - Quality of service
KW - Relays
KW - Resource management
KW - Silicon carbide
KW - Transmitting antennas
KW - unmanned aerial vehicle (UAV)
KW - Unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85097130926&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2020.3036275
DO - 10.1109/JSYST.2020.3036275
M3 - Article
AN - SCOPUS:85097130926
SN - 1932-8184
JO - IEEE Systems Journal
JF - IEEE Systems Journal
ER -