2019 International Conference on Computer, Information and Telecommunication Systems (CITS) 2019
DOI: 10.1109/cits.2019.8862090
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Secure UAV Communication with Robust Communication and Trajectory Design

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Cited by 4 publications
(2 citation statements)
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“…The ASR was maximized by jointly optimizing the UAV's trajectory and power allocation. More general multi-node scenarios were investigated in [136]- [139], [141], [148], [149], [183]. Compared with the three-node model, new optimization targets and variables emerge.…”
Section: Trajectory Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The ASR was maximized by jointly optimizing the UAV's trajectory and power allocation. More general multi-node scenarios were investigated in [136]- [139], [141], [148], [149], [183]. Compared with the three-node model, new optimization targets and variables emerge.…”
Section: Trajectory Optimizationmentioning
confidence: 99%
“…The authors in [138] Air: UAV Tx (1) Ground: Bob (1), IRS (1) and Eve(1) (IRS) Tx ---LoS, no fading (A2G) NLoS, Rayleigh (G2G) -Optimize UAV's trajectory, transmit power, and IRS phase shifts [135] Air: UAV Tx (1), Ground: Bob (1) and Eve (1) (Finite blocklength) [139] maximized the average worst-case SR by jointly optimizing the robust trajectory and the transmission power. Further considering multiple Eves distributed in a uncertain region, the authors in [183] jointly optimized the UAV's trajectory, transmission power and user scheduling to maximize the SR of the system. The UAV may act as a secondary transmitter in a cognitive radio (CR) network [66], [184].…”
Section: Trajectory Optimizationmentioning
confidence: 99%