Reference : Hybrid Active-Passive Reconfigurable IntelligentSurface-Assisted UAV Communications |
Scientific congresses, symposiums and conference proceedings : Poster | |||
Engineering, computing & technology : Computer science | |||
Computational Sciences | |||
http://hdl.handle.net/10993/53043 | |||
Hybrid Active-Passive Reconfigurable IntelligentSurface-Assisted UAV Communications | |
English | |
Nguyen, Nhan T. [] | |
Nguyen, V.-Dinh [] | |
Wu, Qingqing [] | |
Tölli, Antti [] | |
Chatzinotas, Symeon ![]() | |
Juntti, Markku [] | |
Dec-2022 | |
Yes | |
International | |
2022 IEEE Global Communications Conference (GLOBECOM) | |
4 to 8 December 2022 | |
IEEE | |
Rio de Janeiro | |
Brazil | |
[en] We consider a novel hybrid active-passive reconfigurable
intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV) air-ground communications system. Unlike the conventional passive RIS, the hybrid RIS is equipped with a few active elements to not only reflect but also amplify the incident signals for significant performance improvement. Towards a fairness design, our goal is to maximize the minimum rate among users through jointly optimizing the location and power allocation of the UAV and the RIS reflecting/amplifying coefficients. The formulated optimization problem is nonconvex and challenging, which is efficiently solved via block coordinate descend and successive convex approximation. Our numerical results show that a hybrid RIS requires only 4 active elements and a power budget of 0 dBm to achieve an improvement of 52.08% in the minimum rate, while that achieved by a conventional passive RIS with the same total number of elements is only 18.06%. | |
http://hdl.handle.net/10993/53043 | |
https://arxiv.org/pdf/2203.07042.pdf |
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