The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Energy Minimization for Wireless Communication With Rotary-Wing UAV
Open accessAbstract
This paper studies unmanned aerial vehicle (UAV)-enabled wireless communication, where a rotary-wing UAV is dispatched to communicate with multiple ground nodes (GNs). We aim to minimize the total UAV energy consumption, including both propulsion energy and communication related energy, while satisfying the communication throughput requirement of each GN. To this end, we first derive a closed-form propulsion power consumption model for rotary-wing UAVs, and then formulate the energy minimization problem by jointly optimizing the UAV trajectory and communication time allocation among GNs, as well as the total mission completion time. The problem is difficult to be optimally solved, as it is non-convex and involves infinitely many variables over time. To tackle this problem, we first consider the simple fly-hover-communicate design, where the UAV successively visits a set of hovering locations and communicates with one corresponding GN while hovering at each location. For this design, we propose an efficient algorithm to optimize the hovering locations and durations, as well as the flying trajectory connecting these hovering locations, by leveraging the travelling salesman problem with neighborhood and convex optimization techniques. Next, we consider the general case, where the UAV also communicates while flying. We propose a new path discretization method to transform the original problem into a discretized equivalent with a finite number of optimization variables, for which we obtain a high-quality suboptimal solution by applying the successive convex approximation technique. The numerical results show that the proposed designs significantly outperform the benchmark schemes.
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
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
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-citation
Cited by
Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
Sun, Y., Xu, D., Ng, D. W. K., Dai, L., & Schober, R. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2900630 · Cited by 452
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-citationA Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
Mozaffari, M., Saad, W., Bennis, M., Nam, Y.-H., & Debbah, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2902862 · Cited by 299
Cognition in UAV-Aided 5G and Beyond Communications: A Survey
Ullah, Z., Al-Turjman, F., & Mostarda, L. (2020) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2020.2968311 · Cited by 226
Metadata
- Authors
- Zeng, Y., Xu, J., & Zhang, R.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-04
- Volume
- 18
- Issue
- 4
- Pages
- 2329-2345
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2964023906
- Cited by
- 2,172
- References
- 2
- FWCI
- 149.17
- 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 Minimization for Wireless Communication With Rotary-Wing UAV. https://app.cochat.ai/papers/10.1109/twc.2019.2902559
- The paper
- Zeng, Y., Xu, J., & Zhang, R. (2019). Energy Minimization for Wireless Communication With Rotary-Wing UAV. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2019.2902559
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.