Lei, Chengleyang, Feng, Wei, Chen, Yunfei and Ge, Ning (2022) Joint power and channel allocation for safeguarding cognitive satellite-UAV networks. In: 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, 07-11 Dec 2021 ISBN 9781728181042. doi:10.1109/globecom46510.2021.9685509
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Abstract
Outside the coverage of terrestrial cellular networks, non-terrestrial infrastructures, e.g., satellites and unmanned aerial vehicles (UAVs), should be utilized, to efficiently cover the remote areas. This requires a cognitive satellite-UAV network, where satellites and UAVs share the spectrum to save cost, and the network resources are orchestrated in an on-demand manner. In this paper, we focus on the physical layer security issue of the cognitive satellite-UAV networks, which is important due to the openness of both satellite links and UAV links. We formulate a joint power and channel allocation problem, using only the slowly-varying large-scale channel state information (CSI), to maximize the sum secrecy rate of UAV users. By resorting to the random matrix theory, the max-min optimization tool, as well as the bipartite graph matching algorithm, we propose a sub-optimal low-complexity solution, the superiority of which is verified by simulation results.
Item Type: | Conference Item (Paper) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering |
SWORD Depositor: | Library Publications Router |
Publisher: | IEEE |
ISBN: | 9781728181042 |
Official Date: | 2 February 2022 |
Dates: | Date Event 2 February 2022 Published |
DOI: | 10.1109/globecom46510.2021.9685509 |
Status: | Peer Reviewed |
Publication Status: | Published |
Access rights to Published version: | Restricted or Subscription Access |
Conference Paper Type: | Paper |
Title of Event: | 2021 IEEE Global Communications Conference (GLOBECOM) |
Type of Event: | Conference |
Location of Event: | Madrid, Spain |
Date(s) of Event: | 07-11 Dec 2021 |
URI: | https://wrap.warwick.ac.uk/167229/ |
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