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Kalwar, Saadullah, Chin, Kwan-Wu and Yuan, Zhenhui (2020) Optimizing TDMA Schedule and SIC-Capable UAV Position via Gibbs Sampling. IEEE Networking Letters, 2 (3). pp. 97-100. ISSN 2576-3156
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Abstract
This letter considers a novel problem that aims
to derive the shortest possible Time Division Multiple Access
(TDMA) schedule for use by ground nodes to upload their data to
an Unmanned Aerial Vehicle (UAV) over random channel gains.
Its key novelties include equipping the UAV with a Successive
Interference Cancellation (SIC) radio and applying a Gibbs sampling based approach to optimize the UAV’s position. Our results
show that the UAV is able to learn the optimal location whereby
the average schedule length at the optimal position is up to 17%
shorter as compared to other locations.
| Item Type: | Article |
|---|---|
| Keywords: | Node placement; link scheduling; Markov chain Monte Carlo; TDMA; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
| Item ID: | 20635 |
| Identification Number: | 10.1109/LNET.2020.2999916 |
| Depositing User: | IR Editor |
| Date Deposited: | 30 Sep 2025 13:46 |
| Journal or Publication Title: | IEEE Networking Letters |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mural.maynoothuniversity.ie/id/eprint/20635 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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