In this work, we address the optimization of vertical backhaul framework where multiple aerial base station (ABS) are deployed to conFigure the intermediate backhaul links for terrestrial base stations (TBS) in wireless networks. Here, we focus on maximizing the downlink network throughput in mixed RF/FSO backhaul networks by optimizing resource allocation and placement. Specifically, the ABS-TBS association, transmit power, and positions of ABSs are alternately and iteratively optimized. To solve the corresponding mixed-integer non-convex optimization problem, we propose an efficient iterative algorithm by applying the block coordinate descent method and successive convex optimization techniques. Although we obtain suboptimal solutions due to the non-convexity of the problems, simulation results indicate that the proposed scheme demonstrates the significant network throughput gain compared with the conventional scheme.
|Title of host publication||2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2020 May|
|Event||91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium|
Duration: 2020 May 25 → 2020 May 28
|Name||IEEE Vehicular Technology Conference|
|Conference||91st IEEE Vehicular Technology Conference, VTC Spring 2020|
|Period||20/5/25 → 20/5/28|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-2015-0-00385) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation).
© 2020 IEEE.
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics