The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Joint Trajectory and Power Optimization for UAV Relay Networks
Abstract
In this letter, we consider an unmanned aerial vehicle (UAV) relay network, where the UAV works as an amplify-and-forward relay. We optimize the trajectory of UAV, the transmit power of UAV, and the mobile device by minimizing the outage probability of this relay network. The analytical expression of outage probability is derived first. A closed-form low-complexity solution with joint trajectory design and power control is proposed to solve this non-convex problem. Simulation results show that the outage probability of the proposed solution is significantly lower than that of the fixed power relay and circle trajectory for the UAV relay.
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
Table of Integrals, Series, and Products
Gradshteyn, I. S., Ryzhik, I. M., & Hays, D. F. (1976) · Journal of Lubrication Technology · doi:10.1115/1.3452897 · Cited by 4,742
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
Survey of Important Issues in UAV Communication Networks
Gupta, L., Jain, R., & Vaszkun, G. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2495297 · Cited by 2,343
Throughput 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
Help from the Sky: Leveraging UAVs for Disaster Management
Erdelj, M., Natalizio, E., Chowdhury, K. R., & Akyildiz, I. F. (2017) · IEEE Pervasive Computing · doi:10.1109/mprv.2017.11 · Cited by 996
Energy-efficient maneuvering and communication of a single UAV-based relay
Choi, D. H., Kim, S. H., & Sung, D. K. (2014) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2013.130074 · Cited by 126
Zhang, S., Di, B., Song, L., & Li, Y. (2017) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2017.2661281 · Cited by 79
Self-citation
Cited by
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-citationDing, R., Gao, F., & Shen, X. S. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3016024 · Cited by 331
Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues
Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2875544 · Cited by 284
UAV-Relaying-Assisted Secure Transmission With Caching
Cheng, F., Gui, G., Zhao, N., Chen, Y., Tang, J., & Sari, H. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2895088 · Cited by 266
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Liu, Y., Nie, J., Li, X., Ahmed, S. H., Lim, W. Y. B., & Miao, C. (2020) · arXiv · doi:10.48550/arxiv.2007.12004 · Cited by 227
Metadata
- Authors
- Zhang, S., Zhang, H., He, Q., Bian, K., & Song, L.
- Venue
- IEEE Communications Letters
- Published
- 2018-01
- Volume
- 22
- Issue
- 1
- Pages
- 161-164
- ISSN
- 1089-7798 (ISSN-L)
- OpenAlex
- W2767105570
- Cited by
- 462
- References
- 7
- FWCI
- 49.49
- Type
- journal article
- Language
- en
- Open access
- closed
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: Joint Trajectory and Power Optimization for UAV Relay Networks. https://app.cochat.ai/papers/10.1109/lcomm.2017.2763135
- The paper
- Zhang, S., Zhang, H., He, Q., Bian, K., & Song, L. (2018). Joint Trajectory and Power Optimization for UAV Relay Networks. IEEE Communications Letters. https://doi.org/10.1109/lcomm.2017.2763135
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.
