Attention-based reinforcement learning for real-time UAV semantic communication

Won Joon Yun, Byungju Lim, Soyi Jung, Young Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    31 Citations (Scopus)

    Abstract

    In this article, we study the problem of air-to-ground ultra-reliable and low-latency communication (URLLC) for a moving ground user. This is done by controlling multiple unmanned aerial vehicles (UAVs) in real time while avoiding inter-UAV collisions. To this end, we propose a novel multiagent deep reinforcement learning (MADRL) framework, coined a graph attention exchange network (GAXNet). In GAXNet, each UAV constructs an attention graph locally measuring the level of attention to its neighboring UAVs, while exchanging the attention weights with other UAVs so as to reduce the attention mismatch between them. Simulation results corroborates that GAXNet achieves up to 4.5x higher rewards during training. At execution, without incurring inter-UAV collisions, G2ANet improves reliability of air-to-ground network in terms of latency and error rate.

    Original languageEnglish
    Title of host publication2021 17th International Symposium on Wireless Communication Systems, ISWCS 2021
    PublisherVDE Verlag GmbH
    ISBN (Electronic)9781728174327
    DOIs
    Publication statusPublished - 2021 Sept 6
    Event17th International Symposium on Wireless Communication Systems, ISWCS 2021 - Berlin, Germany
    Duration: 2021 Sept 62021 Sept 9

    Publication series

    NameProceedings of the International Symposium on Wireless Communication Systems
    Volume2021-September
    ISSN (Print)2154-0217
    ISSN (Electronic)2154-0225

    Conference

    Conference17th International Symposium on Wireless Communication Systems, ISWCS 2021
    Country/TerritoryGermany
    CityBerlin
    Period21/9/621/9/9

    Bibliographical note

    Publisher Copyright:
    © 2021 IEEE

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering
    • Communication

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