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Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication

School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43, UK
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Sensors 2021, 21(2), 534; https://doi.org/10.3390/s21020534
Received: 26 October 2020 / Revised: 17 December 2020 / Accepted: 9 January 2021 / Published: 13 January 2021
(This article belongs to the Special Issue Advances in Cognitive Radio Networks)
In anticipation of wide implementation of 5G technologies, the scarcity of spectrum resources for the unmanned aerial vehicles (UAVs) communication remains one of the major challenges in arranging safe drone operations. Dynamic spectrum management among multiple UAVs as a tool that is able to address this issue, requires integrated solutions with considerations of heterogeneous link types and support of the multi-UAV operations. This paper proposes a synthesized resource allocation and opportunistic link selection (RA-OLS) scheme for the air-to-ground (A2G) UAV communication with dynamic link selections. The link opportunities using link hopping sequences (LHSs) are allocated in the GCSs for alleviating the internal collisions within the UAV network, offloading the on-board computations in the spectrum processing function, and avoiding the contention in the air. In this context, exclusive technical solutions are proposed to form the prototype system. A sub-optimal allocation method based on the greedy algorithm is presented for addressing the resource allocation problem. A mathematical model of the RA-OLS throughput with above propositions is formulated for the spectrum dense and scarce environments. An interference factor is introduced to measure the protection effects on the primary users. The proposed throughput model approximates the simulated communication under requirements of small errors in the spectrum dense environment and the spectrum scarce environment, where the sensitivity analysis is implemented. The proposed RA-OLS outperforms the static communication scheme in terms of the utilization rate by over 50% in case when multiple links are available. It also enables the collaborative communication when the spectral resources are in scarcity. The impacts from diverse parameters on the RA-OLS communication performance are analyzed. View Full-Text
Keywords: cognitive communication; opportunistic spectrum access; UAV communication; air-to-ground communication; spectrum sharing; spectrum management; spectrum scarce operation cognitive communication; opportunistic spectrum access; UAV communication; air-to-ground communication; spectrum sharing; spectrum management; spectrum scarce operation
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MDPI and ACS Style

Xu, Z.; Petrunin, I.; Tsourdos, A. Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication. Sensors 2021, 21, 534. https://doi.org/10.3390/s21020534

AMA Style

Xu Z, Petrunin I, Tsourdos A. Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication. Sensors. 2021; 21(2):534. https://doi.org/10.3390/s21020534

Chicago/Turabian Style

Xu, Zhengjia; Petrunin, Ivan; Tsourdos, Antonios. 2021. "Modeling and Performance Analysis of Opportunistic Link Selection for UAV Communication" Sensors 21, no. 2: 534. https://doi.org/10.3390/s21020534

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