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High Accuracy DPD Approach for Hybrid Beamformer using Novel Training Symbol Mapping | IEEE Conference Publication | IEEE Xplore

High Accuracy DPD Approach for Hybrid Beamformer using Novel Training Symbol Mapping


Abstract:

Advantages of the higher frequencies used for mmWave 5G, make it suitable for providing high-speed connectivity in densely populated areas or supporting ultra-low latency...Show More

Abstract:

Advantages of the higher frequencies used for mmWave 5G, make it suitable for providing high-speed connectivity in densely populated areas or supporting ultra-low latency applications. In this manuscript, a novel Scalable Training OFDM (ST-OFDM) signal is synthesized and used in conjunction with a digital pre-distortion routine to enhance the performance of a mmWave 5G hybrid beamforming array. The proposed method provides \sim 4 dBc of Adjacent Channel Power Ratio (ACPR) improvement compared to the popular average DPD technique.
Date of Conference: 21-24 January 2024
Date Added to IEEE Xplore: 21 February 2024
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Conference Location: San Antonio, TX, USA

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