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- W3136023149 abstract "We consider an ambient backscatter communication (AmBC) system aided by an intelligent reflecting surface (IRS). The optimization of the IRS to assist AmBC is extremely difficult when there is no prior channel knowledge, for which no design solutions are currently available. We utilize a deep reinforcement learning-based framework to jointly optimize the IRS and reader beamforming, with no knowledge of the channels or ambient signal. We show that the proposed framework can facilitate effective AmBC communication with a detection performance comparable to several benchmarks under full channel knowledge." @default.
- W3136023149 created "2021-03-29" @default.
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- W3136023149 date "2021-03-11" @default.
- W3136023149 modified "2023-09-27" @default.
- W3136023149 title "IRS-Assisted Ambient Backscatter Communications Utilizing Deep Reinforcement Learning" @default.
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- W3136023149 doi "https://doi.org/10.48550/arxiv.2103.07083" @default.
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