Joint Channel Estimation, Training Design, Tx Power Allocation, and Rx Power Splitting for MIMO SWIPT Systems
| Autor: | Jae-Mo Kang, Hyung-Myung Kim, Joonhyuk Kang, Byung Jo Kim |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science MIMO 020206 networking & telecommunications 02 engineering and technology Computer Science Applications Power (physics) Control theory Modeling and Simulation 0202 electrical engineering electronic engineering information engineering Wireless Maximum power transfer theorem Electrical and Electronic Engineering business Joint (audio engineering) Energy harvesting Energy (signal processing) Computer Science::Information Theory Communication channel |
| Zdroj: | IEEE Communications Letters. 25:1269-1273 |
| ISSN: | 2373-7891 1089-7798 |
| DOI: | 10.1109/lcomm.2020.3048963 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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