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Low-Complexity Algorithm for Outage Optimal Resource Allocation in Energy Harvesting-Based UAV Identification Networks
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- Authors
- Jae Cheol Park, Kyu-Min Kang, Junil Choi
- Issue Date
- 2021-11
- Citation
- IEEE Communications Letters, v.25, no.11, pp.3639-3643
- ISSN
- 1089-7798
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- We study an unmanned aerial vehicle (UAV) identification network equipped with an energy harvesting (EH) technique. In the network, the UAVs harvest energy through radio frequency (RF) signals transmitted from ground control stations (GCSs) and then transmit their identification information to the ground receiver station (GRS). Specifically, we first derive a closed-form expression of the outage probability to evaluate the network performance. Then we obtain the closed-form expression of the optimal time allocation when the bandwidth is equally allocated to the UAVs. We also propose a fast-converging algorithm for time and the bandwidth allocation, which is necessary for the UAV environment with high mobility, to optimize the outage performance of EH-based UAV identification network. Simulation results show that the proposed algorithm outperforms the conventional bisection algorithm and achieves near-optimal performance.
- KSP Keywords
- Closed-form expressions, Energy Harvesting(EH), Ground control, High Mobility, Low-complexity algorithm, Network performance, Optimal resource allocation, Outage probability(OP), an unmanned aerial vehicle, bandwidth allocation, bisection algorithm