The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design
Open accessAbstract
Unmanned aerial vehicles (UAVs) have a great potential for improving the performance of wireless communication systems due to their high mobility. In this correspondence, we study a UAV-enabled data collection system, where a UAV is dispatched to collect a given amount of data from a ground terminal (GT) at fixed location. Intuitively, if the UAV flies closer to the GT, the uplink transmission energy of the GT required to send the target data can be more reduced. However, such UAV movement may consume more propulsion energy of the UAV, which needs to be properly controlled to save its limited on-board energy. As a result, the transmission energy reduction of the GT is generally at the cost of higher propulsion energy consumption of the UAV, which leads to a new fundamental energy tradeoff in ground-to-UAV wireless communication. To characterize this tradeoff, we consider two practical UAV trajectories, namely circular flight and straight flight. In each case, we first derive the energy consumption expressions of the UAV and GT and then find the optimal GT transmit power and UAV trajectory that achieve different Pareto optimal tradeoffs between them. Numerical results are provided to corroborate our study.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Self-citationOptimal LAP Altitude for Maximum Coverage
Al-Hourani, A., Kandeepan, S., & Lardner, S. (2014) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2014.2342736 · Cited by 3,161
Energy-Efficient UAV Communication With Trajectory Optimization
Zeng, Y., & Zhang, R. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2688328 · Cited by 2,164
Self-citationJoint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks
Wu, Q., Zeng, Y., & Zhang, R. (2018) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2789293 · Cited by 1,978
Self-citationThroughput Maximization for UAV-Enabled Mobile Relaying Systems
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2611512 · Cited by 1,315
Self-citationSynchronization Techniques for Digital Receivers
Mengali, U., & D’Andrea, A. N. (1997) · Springer eBooks · doi:10.1007/978-1-4899-1807-9 · Cited by 1,276
Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage
Mozaffari, M., Saad, W., Bennis, M., & Debbah, M. (2016) · IEEE Communications Letters · doi:10.1109/lcomm.2016.2578312 · Cited by 1,095
Placement Optimization of UAV-Mounted Mobile Base Stations
Lyu, J., Zeng, Y., Zhang, R., & Lim, T. J. (2017) · IEEE Communications Letters · doi:10.1109/lcomm.2016.2633248 · Cited by 949
Self-citationAlzenad, M., El-Keyi, A., Lagum, F., & Yanikomeroglu, H. (2017) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2017.2700840 · Cited by 949
Efficient 3-D placement of an aerial base station in next generation cellular networks
Bor-Yaliniz, R. I., El-Keyi, A., & Yanikomeroglu, H. (2016) · 2016 IEEE International Conference on Communications (ICC) · doi:10.1109/icc.2016.7510820 · Cited by 893
Cited by
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective
Zhang, S., Zeng, Y., & Zhang, R. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2880468 · Cited by 426
Self-citationUAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells
Cheng, F., Zhang, S., Li, Z., Chen, Y., Zhao, N., Yu, F. R., & Leung, V. C. M. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2811942 · Cited by 350
Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT
Wang, Z., Liu, R., Liu, Q., Thompson, J. S., & Kadoch, M. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2952364 · Cited by 308
Metadata
- Authors
- Yang, D., Wu, Q., Zeng, Y., & Zhang, R.
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2018-07
- Volume
- 67
- Issue
- 7
- Pages
- 6721-6726
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2964018918
- Cited by
- 409
- References
- 17
- FWCI
- 48.76
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design. https://app.cochat.ai/papers/10.1109/tvt.2018.2816244
- The paper
- Yang, D., Wu, Q., Zeng, Y., & Zhang, R. (2018). Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2018.2816244
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
