期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 69, 期 9, 页码 10385-10390出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2020.3004598
关键词
Unmanned aerial vehicles; Probability density function; Signal to noise ratio; Power system reliability; Probability; Rician channels; Bit error rate; capacity; outage probability; UAV; RIS
资金
- National Natural Science Foundation of China (NSFC) [61671160]
- Department of Education of Guangdong Province [2016KZDXM050]
- Hunan Natural Science Foundation [2019JJ40043]
- Science and Technology Program of Guangzhou [201904010249]
- Science and Technology Program of Changsha [kq1907112]
- Open Fund of IPOC (BUPT)
- European Commission [871464]
In this paper, to further improve the coverage and performance of unmanned aerial vehicle (UAV) communication systems, we propose a reconfigurable intelligent surface (RIS)-assisted UAV scheme where an RIS installed on a building is used to reflect the signals transmitted from the ground source to an UAV, and the UAV is deployed as a relay to forward the decoded signals to the destination. To model the statistical distribution of the RIS-assisted ground-to-air (G2A) links, we develop a tight approximation for the probability density function (PDF) of the instantaneous signal-to-noise ratio (SNR). By using the obtained distribution, analytical expressions for the outage probability, average bit error rate (BER), and average capacity are derived. Results show that the use of RISs can effectively improve the coverage and reliability of UAV communication systems.
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