[논문]Joint Channel Estimation, Training Design, Tx Power Allocation, and Rx Power Splitting for MIMO SWIPT Systems

Kim, Byungjo; Kang, Jae-Mo; Kim, Hyung-Myung; Kang, Joonhyuk

doi:10.1109/lcomm.2020.3048963

[해외논문] Joint Channel Estimation, Training Design, Tx Power Allocation, and Rx Power Splitting for MIMO SWIPT Systems

IEEE communications letters : a publication of the IEEE Communications Society, v.25 no.4, 2021년, pp.1269 - 1273

Kim, Byungjo (Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea) , Kang, Jae-Mo (Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea) , Kim, Hyung-Myung (Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea) , Kang, Joonhyuk (Kyungpook National University, Daegu, South Korea)

Abstract ▼ AI-Helper

In this letter, we develop a novel scheme for joint channel estimation, training design, transmit (Tx) power allocation, and receive (Rx) power splitting in multiple-input multiple-output (MIMO) simultaneous wireless information and power transfer (SWIPT) systems, which maximizes the average signal-to-error-plus-noise ratio (SENR) with average harvested energy constraints at the receiver. To solve this challenging design problem, we first convert it into a more tractable form, which enables to derive the optimal solution efficiently. To further lower the required complexity, we also propose a suboptimal solution in a closed form. The performance of the proposed scheme is demonstrated through numerical simulations.

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DOI : 10.1109/LCOMM.2020.3048963
IEEE : 저널 > 논문

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