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Title: | Cooperative Lossy Communications in Unmanned Aerial Vehicle Networks: Age-of-Information with Outage Probability |
Authors: | Lin, Wensheng Li, Lixin Yuan, Jinhong Han, Zhu Juntti, Markku Matsumoto, Tad |
Keywords: | Unmanned aerial vehicles outage probability Age-of-Information cooperative communications lossy communications |
Issue Date: | 2021-08-10 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Magazine name: | IEEE Transactions on Vehicular Technology |
Volume: | 70 |
Number: | 10 |
Start page: | 10105 |
End page: | 10120 |
DOI: | 10.1109/TVT.2021.3103103 |
Abstract: | This paper analyzes the robustness and timeliness for cooperative lossy communications in unmanned aerial vehicle (UAV) networks. The analytical framework consists of two steps: 1) calculating the outage probability, and 2) characterizing the Age-of-Information (AoI) for a given outage probability. Initially, we determine the outage probability based on the Shannon’s lossy source-channel separation theorem. Numerical results indicate that joint decoding reduces the outage probability, and the system can achieve higher diversity order for less stringent distortion requirement. Then, we derive a closed-form expression of the lower bound on the average AoI for the communication system where outage events are constrained to an acceptable level. Moreover, we conduct a series of simulations for verifying the lower bound on the average AoI and evaluating the impact of UAV locations on the average AoI. It is demonstrated that the lower bound is tight when the server utilization ratio is either relatively busy or idle. For the case with a relatively large outage probability, we propose an intermittent transmission scheme to refine the AoI performance without extra energy consumption. The effectiveness of the intermittent transmission scheme for reducing the average AoI is verified by both the simulations and the lower bound analysis. |
Rights: | Copyright (c)2021 IEEE. Reprinted from IEEE Transactions on Vehicular Technology, 70(10), 2021, 10105-10120. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
URI: | http://hdl.handle.net/10119/17498 |
Material Type: | author |
Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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