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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Spectrum on Demand : A Competitive Open Market Model for Spectrum Sharing for UAV-Assisted Communications. / Ansari, Rafay Iqbal; Ashraf, Nouman; Hassan, Syed Ali et al.
In: IEEE Network, Vol. 34, No. 6, 30.11.2020, p. 318-324.Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Spectrum on Demand
T2 - A Competitive Open Market Model for Spectrum Sharing for UAV-Assisted Communications
AU - Ansari, Rafay Iqbal
AU - Ashraf, Nouman
AU - Hassan, Syed Ali
AU - C., Deepak G.
AU - Pervaiz, Haris
AU - Politis, Christos
N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2020/11/30
Y1 - 2020/11/30
N2 - Unmanned aerial vehicle (UAV)-assisted communication has attracted significant interest from the industry, especially with regard to the vision of providing ubiquitous connectivity for beyond 5G (B5G) networks. In this article, we motivate the need for utilizing licensed spectrum for UAV-assisted communication and discuss its advantages such as reliability and security. We explore a new dimension to spectrum sharing by proposing a decentralized competitive open market approach-based model, where the different mobile network operators (MNOs) have the opportunity to lease the spectrum to UAV base stations (UAV-BSs), leading to new revenue generation opportunities. The proposed spectrum sharing mechanism is based on the logarithmic utility function and willingness to pay of each UAV-BS. We provide a trade-off analysis between spectrum sharing and price offered by the MNOs, highlighting the impact of the willingness to pay on the spectrum sharing. The results also highlight the behavior of price and spectrum shared w.r.t. time, thereby providing an insight into different performance regions until the algorithm converges to its optimal value. In addition, we also present future directions that could lead to interesting analyses, especially with regard to incentive-based spectrum sharing and security.
AB - Unmanned aerial vehicle (UAV)-assisted communication has attracted significant interest from the industry, especially with regard to the vision of providing ubiquitous connectivity for beyond 5G (B5G) networks. In this article, we motivate the need for utilizing licensed spectrum for UAV-assisted communication and discuss its advantages such as reliability and security. We explore a new dimension to spectrum sharing by proposing a decentralized competitive open market approach-based model, where the different mobile network operators (MNOs) have the opportunity to lease the spectrum to UAV base stations (UAV-BSs), leading to new revenue generation opportunities. The proposed spectrum sharing mechanism is based on the logarithmic utility function and willingness to pay of each UAV-BS. We provide a trade-off analysis between spectrum sharing and price offered by the MNOs, highlighting the impact of the willingness to pay on the spectrum sharing. The results also highlight the behavior of price and spectrum shared w.r.t. time, thereby providing an insight into different performance regions until the algorithm converges to its optimal value. In addition, we also present future directions that could lead to interesting analyses, especially with regard to incentive-based spectrum sharing and security.
KW - Communication networks
KW - Quality of service
KW - Reliability
KW - Safety
KW - Security
KW - Smart cities
KW - Unmanned aerial vehicles
U2 - 10.1109/MNET.011.2000253
DO - 10.1109/MNET.011.2000253
M3 - Journal article
AN - SCOPUS:85092940229
VL - 34
SP - 318
EP - 324
JO - IEEE Network
JF - IEEE Network
SN - 0890-8044
IS - 6
ER -