TY - GEN
T1 - UAV Base Station Location Optimization for Next Generation Wireless Networks
T2 - 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
AU - Cicek, Cihan Tugrul
AU - Gultekin, Hakan
AU - Tavli, Bulent
AU - Yanikomeroglu, Halim
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/4
Y1 - 2019/3/4
N2 - Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV-BSs have attracted significant attention. Despite, potentially, high gains brought by UAV-BSs in NGWNs, many challenges are also introduced by them. Optimal location assignment to UAV-BSs, arguably, is the most widely investigated problem in the literature on UAV-BSs in NGWNs. This paper presents a comprehensive survey of the literature on the location optimization of UAV-BSs in NGWNs. A generic optimization framework through a universal Mixed Integer Non-Linear Programming (MINLP) formulation is constructed and the specifications of its constituents are elaborated. The generic problem is classified into a novel taxonomy. Due to the highly challenging nature of the optimization problem a range of solutions are adopted in the literature which are also covered under the aforementioned classification. Furthermore, future research directions on UAV-BS location optimization in 5G and beyond non-terrestrial aerial communication systems are discussed.
AB - Unmanned aerial vehicles mounted base stations (UAV-BSs) are expected to become one of the significant components of the Next Generation Wireless Networks (NGWNs). Rapid deployment, mobility, higher chances of unobstructed propagation path, and flexibility features of UAV-BSs have attracted significant attention. Despite, potentially, high gains brought by UAV-BSs in NGWNs, many challenges are also introduced by them. Optimal location assignment to UAV-BSs, arguably, is the most widely investigated problem in the literature on UAV-BSs in NGWNs. This paper presents a comprehensive survey of the literature on the location optimization of UAV-BSs in NGWNs. A generic optimization framework through a universal Mixed Integer Non-Linear Programming (MINLP) formulation is constructed and the specifications of its constituents are elaborated. The generic problem is classified into a novel taxonomy. Due to the highly challenging nature of the optimization problem a range of solutions are adopted in the literature which are also covered under the aforementioned classification. Furthermore, future research directions on UAV-BS location optimization in 5G and beyond non-terrestrial aerial communication systems are discussed.
KW - beyond 5G
KW - non-terrestrial networks
KW - optimization
KW - survey
KW - UAV base station
KW - unmanned aerial vehicles
UR - http://www.scopus.com/inward/record.url?scp=85063934440&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063934440&partnerID=8YFLogxK
U2 - 10.1109/UVS.2019.8658363
DO - 10.1109/UVS.2019.8658363
M3 - Conference contribution
AN - SCOPUS:85063934440
T3 - 2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
BT - 2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 February 2019 through 7 February 2019
ER -