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

Research output: Contribution to journalJournal articlepeer-review

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  • Rafay Iqbal Ansari
  • Nouman Ashraf
  • Syed Ali Hassan
  • Deepak G. C.
  • Haris Pervaiz
  • Christos Politis
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<mark>Journal publication date</mark>30/11/2020
<mark>Journal</mark>IEEE Network
Issue number6
Volume34
Number of pages7
Pages (from-to)318-324
Publication StatusPublished
Early online date12/10/20
<mark>Original language</mark>English

Abstract

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.

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©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.