Journal
IEEE COMMUNICATIONS LETTERS
Volume 23, Issue 5, Pages 851-854Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2019.2909880
Keywords
Altitude optimization; average worst-case secrecy rate; physical layer security; unmanned aerial vehicle
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Funding
- IITP grant - Korea government (MSIT) [2018-0-00831]
- NRF - Korea government (MSIT) [2018R1A4A1023826]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2018-0-00831-002] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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In this letter, the altitude of an unmanned aerial vehicle base station (UAV-BS) is optimized to maximize an average worst case secrecy rate (AWSR) without eavesdropper location information. The air-to-ground channels are modeled based on the derived line-of-sight probability under a general urban model with Poisson point process and Rayleigh distribution for the locations and heights of the buildings, respectively. To solve the AWSR maximization problem, which is intractable, we reformulate it by the first-order Taylor series approximation and apply the Davies-Swann-Campey algorithm to effectively find the solution of the modified AWSR maximization problem. Numerical results verify that the altitude of UAV-BS affects the secrecy rate significantly and that the proposed UAV-BS can improve the secrecy rate compared with a static terrestrial BS.
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