4.7 Article

Throughput Maximization of Mixed FSO/RF UAV-Aided Mobile Relaying With a Buffer

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 20, Issue 1, Pages 683-694

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.3028068

Keywords

Mixed FSO/RF communication; UAV-aided mobile relaying; throughput maximization; buffer constraint; delay-considered design

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2018R1A2B2007789]

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This paper investigates a mobile relaying system assisted by an unmanned aerial vehicle with a finite buffer size, considering a dual-hop mixed FSO/RF relaying system. By addressing trajectory design of the UAV relay node taking into account transmission rate imbalance between RF and FSO links, the study aims to achieve maximum data throughput at the ground user terminal. A proposed iterative algorithm effectively obtains locally optimal solutions and presents trajectory results under atmospheric conditions, buffer size, and delay requirements, leading to 223.33% throughput gain compared to conventional static relaying schemes.
In this paper, we investigate a mobile relaying system assisted by an unmanned aerial vehicle (UAV) with a finite size of the buffer. Under the buffer size limit and delay constraints at the UAV relay, we consider a dual-hop mixed free-space optical/radio frequency (FSO/RF) relaying system (i.e., the source-to-relay and relay-to-destination links employ FSO and RF links, respectively). Taking an imbalance in the transmission rate between RF and FSO links into consideration, we address the trajectory design of the UAV relay node to obtain the maximum data throughput at the ground user terminal. Specifically, we classify two relaying transmission schemes according to the delay requirements, i.e., i) delay-limited transmission and ii) delay-tolerant transmission. Accordingly, we propose an iterative algorithm to effectively obtain the locally optimal solution to our throughput optimization problems and further present the complexity analysis of this algorithm. Through this algorithm, we present the resulting trajectories over the atmospheric condition, the buffer size, and the delay requirement. In addition, we show the optimum buffer size and the throughput-delay tradeoff for a given system. The numerical results validate that the proposed buffer-aided and delay-considered mobile relaying scheme obtains 223.33% throughput gain compared to the conventional static relaying scheme.

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