Cang, Y;
Chen, M;
Zhao, J;
Yang, Z;
Hu, Y;
Huang, C;
Wong, KK;
(2022)
Joint Deployment and Resource Management for VLC-enabled RISs-assisted UAV Networks.
IEEE Transactions on Wireless Communications
10.1109/TWC.2022.3165853.
(In press).
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Abstract
In this paper, the problem of the deployment and resource management for visible light communication (VLC)-enabled, reconfigurable intelligent surfaces (RISs)-assisted unmanned aerial vehicle (UAV) networks is investigated. In the considered model, UAVs provide terrestrial users with wireless services and illumination simultaneously. Moreover, RISs are utilized to further improve the channel quality between UAVs and users. This joint placement and resource management problem is constructed aiming at acquiring the optimal UAV deployment, RISs phase shift, user and RIS association that satisfies the users’ needs with minimum consumption of the UAVs’ energy. An iterative algorithm that alternately optimizes continuous and binary variables is proposed to solve this mixed-integer programming problem. Specifically, RISs phase shift optimization is solved by phases alignment method and semidefinite program algorithm. Next, the successive convex approximation algorithm is proposed to settle the UAV deployment problem. The user and RIS association variables are relaxed to the continuous ones before adopting the dual method to find the optimal solution. Moreover, a greedy algorithm is proposed as an alternative to RIS association optimization with low complexity. Simulation results show that the proposed two schemes harvest the superior performance of 34.85% and 32.11% energy consumption reduction over the case without RIS, respectively.
| Type: | Article |
|---|---|
| Title: | Joint Deployment and Resource Management for VLC-enabled RISs-assisted UAV Networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TWC.2022.3165853 |
| Publisher version: | http://dx.doi.org/10.1109/TWC.2022.3165853 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Autonomous aerial vehicles , Visible light communication, Lighting, Radio frequency, Energy efficiency, Base stations, Resource management |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10148128 |
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