Guo, K;
Wang, C;
Li, Z;
Ng, DWK;
Wong, KK;
(2021)
Multiple UAV-Borne IRS-Aided Millimeter Wave Multicast Communications: A Joint Optimization Framework.
IEEE Communications Letters
10.1109/LCOMM.2021.3111602.
(In press).
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Abstract
In this letter, we design a resource allocation algorithm for communications in millimeter wave (mmWave) multicast systems adopting multiple unmanned aerial vehicle (UAV)-borne intelligent reflecting surfaces (IRSs). Considering the effect of blockages of building, we jointly optimize the placement of UAVs and the beamforming at the ground base station (BS) and the passive beamforming at the UAV-borne IRSs for maximizing the minimum rate of multiple user clusters. For handling the non-convex optimization problem, firstly, we employ the simulated annealing (SA)-based hybrid particle swarm optimization (HPSO) algorithm to design the deployment of UAVs for maximizing the average minimum achievable rate. Then, we propose a penalty-based block coordinated descent (BCD) algorithm to design the active and passive beamforming for maximizing the instantaneous minimum rate. Simulation results validate the efficiency of our proposed joint optimization framework.
| Type: | Article |
|---|---|
| Title: | Multiple UAV-Borne IRS-Aided Millimeter Wave Multicast Communications: A Joint Optimization Framework |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/LCOMM.2021.3111602 |
| Publisher version: | http://dx.doi.org/10.1109/LCOMM.2021.3111602 |
| 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: | Array signal processing, Optimization, Multicast communication, Millimeter wave communication, Unmanned aerial vehicles, Millimeter wave technology, Particle swarm optimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10135329 |
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