Spectrum on Demand: A Competitive Open Market Model for Spectrum Sharing for UAV-Assisted Communications

被引:8
作者
Ansari, Rafay iqbal [1 ]
Ashraf, Nouman [5 ]
Hassan, Syed Ali [6 ]
Deepak, C. G. [2 ]
Pervaiz, Haris [7 ]
Politis, Christos [3 ,4 ]
机构
[1] Kingston Univ, Sch Comp Sci & Math CSM, London, England
[2] Kingston Univ, Sch Comp Sci & Math, London, England
[3] Kingston Univ, Wireless Commun, Sch Comp Sci arid Math CSM, London, England
[4] Kingston Univ, Digital Informat Res Ctr DIRC, London, England
[5] Waterford Inst Technol, Telecommun Software & Syst Grp, Waterford, Ireland
[6] Natl Univ Sci & Technol NUST, Islamabad, Pakistan
[7] Univ Lancaster, Sch Comp & Commun, Lancaster, England
来源
IEEE NETWORK | 2020年 / 34卷 / 06期
基金
英国工程与自然科学研究理事会;
关键词
Unmanned aerial vehicles; Reliability; Quality of service; Smart cities; Security; Safety; Communication networks; ALGORITHM;
D O I
10.1109/MNET.011.2000253
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:318 / 324
页数:7
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