N. T. Nguyen, V. . -D. Nguyen, Q. Wu, A. Tölli, S. Chatzinotas and M. Juntti, "Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted UAV Communications," GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 3126-3131, doi: 10.1109/GLOBECOM48099.2022.10001719
Hybrid active-passive reconfigurable intelligent surface-assisted UAV communications
|Author:||Nguyen, Nhan T.1; Nguyen, V.-Dinh2; Wu, Qingqing3;|
1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014, Finland
2Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, L-1855 Luxembourg
3State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023032332879
|Publish Date:|| 2023-03-23
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%.
|Pages:||3126 - 3131|
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
IEEE Global Communications Conference
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work has been supported in part by Academy of Finland under 6G Flagship (grant 318927), EERA Project (grant 332362), and Infotech Program funded by University of Oulu Graduate School.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
332362 (Academy of Finland Funding decision)
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