| 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 [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >] | |
| 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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