The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Ultra-Dense LEO: Integrating Terrestrial-Satellite Networks Into 5G and Beyond for Data Offloading
Open accessAbstract
In this paper, we propose a terrestrial-satellite network (TSN) architecture to integrate the ultra-dense low earth orbit (LEO) networks and the terrestrial networks to achieve efficient data offloading. In TSN, each ground user can access the network over C-band via a macro cell, a traditional small cell, or a LEO-backhauled small cell (LSC). Each LSC is then scheduled to upload the received data via multiple satellites over Ka-band. We aim to maximize the sum data rate and the number of accessed users while satisfying the varying backhaul capacity constraints jointly determined by the LEO satellite-based backhaul links. The optimization problem is then decomposed into two closely connected subproblems and solved by our proposed matching algorithms. The simulation results show that the integrated network significantly outperforms the non-integrated ones in terms of the sum data rate. The influence of the traffic load and LEO constellation on the system performance is also discussed.
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
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis
Roth, A. E., & Sotomayor, M. A. O. (1990) · Cambridge University Press eBooks · doi:10.1017/ccol052139015x · Cited by 1,340
A new simple model for land mobile satellite channels: first- and second-order statistics
Abdi, A., Lau, W. C., Alouini, M., & Kaveh, M. (2003) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2003.811182 · Cited by 1,049
5G wireless backhaul networks: challenges and research advances
Ge, X., Cheng, H., Guizani, M., & Han, T. (2014) · IEEE Network · doi:10.1109/mnet.2014.6963798 · Cited by 581
Algorithmics of Matching Under Preferences
Manlove, D. F. (2013) · Series on Theoretical Computer Science · doi:10.1142/8591 · Cited by 515
Di, B., Song, L., & Li, Y. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2606100 · Cited by 444
Self-citationEnergy-Efficient Resource Allocation in Multi-Cell OFDMA Systems with Limited Backhaul Capacity
Ng, D. W. K., Lo, E. S., & Schober, R. (2012) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2012.083112.111951 · Cited by 360
Zhou, Z., Dong, M., Ota, K., Wang, G., & Yang, L. T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2497712 · Cited by 272
Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks
Zhou, Z., Ota, K., Dong, M., & Xu, C. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2615718 · Cited by 227
Cited by
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
Azari, M. M., Solanki, S., Chatzinotas, S., Kodheli, O., Sallouha, H., Colpaert, A., Mendoza Montoya, J. F., Pollin, S., Haqiqatnejad, A., Mostaani, A., et al. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3199901 · Cited by 668
Physical-Layer Security in Space Information Networks: A Survey
Li, B., Fei, Z., Zhou, C., & Zhang, Y. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2943900 · Cited by 267
Fang, X., Feng, W., Wei, T., Chen, Y., Ge, N., & Wang, C.-X. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3068596 · Cited by 257
Distributed Multi-Cloud Multi-Access Edge Computing by Multi-Agent Reinforcement Learning
Zhang, Y., Di, B., Zheng, Z., Lin, J., & Song, L. (2021) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3043038 · Cited by 75
Self-citation
Metadata
- Authors
- Di, B., Zhang, H., Song, L., Li, Y., & Li, G. Y.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2019-01
- Volume
- 18
- Issue
- 1
- Pages
- 47-62
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2901608252
- Cited by
- 286
- References
- 19
- FWCI
- 20.43
- 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: Ultra-Dense LEO: Integrating Terrestrial-Satellite Networks Into 5G and Beyond for Data Offloading. https://app.cochat.ai/papers/10.1109/twc.2018.2875980
- The paper
- Di, B., Zhang, H., Song, L., Li, Y., & Li, G. Y. (2019). Ultra-Dense LEO: Integrating Terrestrial-Satellite Networks Into 5G and Beyond for Data Offloading. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2018.2875980
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.
