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Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

Author(s): Yang, Helin; Xiong, Zehui; Zhao, Jun; Niyato, Dusit; Wu, Qingqing; et al

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dc.contributor.authorYang, Helin-
dc.contributor.authorXiong, Zehui-
dc.contributor.authorZhao, Jun-
dc.contributor.authorNiyato, Dusit-
dc.contributor.authorWu, Qingqing-
dc.contributor.authorPoor, H Vincent-
dc.contributor.authorTornatore, Massimo-
dc.identifier.citationYang, Helin, Xiong, Zehui, Zhao, Jun, Niyato, Dusit, Wu, Qingqing, Poor, H Vincent, Tornatore, Massimo. (2021). Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach. IEEE Transactions on Wireless Communications, 20 (3), 1963 - 1974. doi:10.1109/twc.2020.3037767en_US
dc.description.abstractMalicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications. With this focus, this paper considers the use of an intelligent reflecting surface (IRS) to enhance anti-jamming communication performance and mitigate jamming interference by adjusting the surface reflecting elements at the IRS. Aiming to enhance the communication performance against a smart jammer, an optimization problem for jointly optimizing power allocation at the base station (BS) and reflecting beamforming at the IRS is formulated while considering quality of service (QoS) requirements of legitimate users. As the jamming model and jamming behavior are dynamic and unknown, a fuzzy win or learn fast-policy hill-climbing (WoLF-CPHC) learning approach is proposed to jointly optimize the anti-jamming power allocation and reflecting beamforming strategy, where WoLF-CPHC is capable of quickly achieving the optimal policy without the knowledge of the jamming model, and fuzzy state aggregation can represent the uncertain environment states as aggregate states. Simulation results demonstrate that the proposed anti-jamming learning-based approach can efficiently improve both the IRS-assisted system rate and transmission protection level compared with existing solutions.en_US
dc.format.extent1963 - 1974en_US
dc.relation.ispartofIEEE Transactions on Wireless Communicationsen_US
dc.rightsAuthor's manuscripten_US
dc.titleIntelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approachen_US
dc.typeJournal Articleen_US

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