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A Framework for Design and Implementation of Adaptive Digital Predistortion Systems

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A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. / Li, Lin; Deaville, Peter; Sapio, Adrian; Anttila, Lauri; Valkama, Mikko; Wolf, Marilyn; Bhattacharyya, Shuvra S.

Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. IEEE, 2019. s. 112-116.

Tutkimustuotosvertaisarvioitu

Harvard

Li, L, Deaville, P, Sapio, A, Anttila, L, Valkama, M, Wolf, M & Bhattacharyya, SS 2019, A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. julkaisussa Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. IEEE, Sivut 112-116, Hsinchu, Taiwan, 18/03/19. https://doi.org/10.1109/AICAS.2019.8771476

APA

Li, L., Deaville, P., Sapio, A., Anttila, L., Valkama, M., Wolf, M., & Bhattacharyya, S. S. (2019). A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. teoksessa Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 (Sivut 112-116). IEEE. https://doi.org/10.1109/AICAS.2019.8771476

Vancouver

Li L, Deaville P, Sapio A, Anttila L, Valkama M, Wolf M et al. A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. julkaisussa Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. IEEE. 2019. s. 112-116 https://doi.org/10.1109/AICAS.2019.8771476

Author

Li, Lin ; Deaville, Peter ; Sapio, Adrian ; Anttila, Lauri ; Valkama, Mikko ; Wolf, Marilyn ; Bhattacharyya, Shuvra S. / A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. IEEE, 2019. Sivut 112-116

Bibtex - Lataa

@inproceedings{418fa5fd9e544f6b828ca53aa2b9b0d6,
title = "A Framework for Design and Implementation of Adaptive Digital Predistortion Systems",
abstract = "Digital predistortion (DPD) has important applications in wireless communication for smart systems, such as, for example, in Internet of Things (IoT) applications for smart cities. DPD is used in wireless communication transmitters to counteract distortions that arise from nonlinearities, such as those related to amplifier characteristics and local oscillator leakage. In this paper, we propose an algorithm-architecture-integrated framework for design and implementation of adaptive DPD systems. The proposed framework provides energy-efficient, real-time DPD performance, and enables efficient reconfiguration of DPD architectures so that communication can be dynamically optimized based on time-varying communication requirements. Our adaptive DPD design framework applies Markov Decision Processes (MDPs) in novel ways to generate optimized runtime control policies for DPD systems. We present a GPU-based adaptive DPD system that is derived using our design framework, and demonstrate its efficiency through extensive experiments.",
keywords = "dataflow modeling, digital predistortion, Markov decision processes, Smart systems",
author = "Lin Li and Peter Deaville and Adrian Sapio and Lauri Anttila and Mikko Valkama and Marilyn Wolf and Bhattacharyya, {Shuvra S.}",
year = "2019",
month = "3",
day = "1",
doi = "10.1109/AICAS.2019.8771476",
language = "English",
pages = "112--116",
booktitle = "Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - A Framework for Design and Implementation of Adaptive Digital Predistortion Systems

AU - Li, Lin

AU - Deaville, Peter

AU - Sapio, Adrian

AU - Anttila, Lauri

AU - Valkama, Mikko

AU - Wolf, Marilyn

AU - Bhattacharyya, Shuvra S.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Digital predistortion (DPD) has important applications in wireless communication for smart systems, such as, for example, in Internet of Things (IoT) applications for smart cities. DPD is used in wireless communication transmitters to counteract distortions that arise from nonlinearities, such as those related to amplifier characteristics and local oscillator leakage. In this paper, we propose an algorithm-architecture-integrated framework for design and implementation of adaptive DPD systems. The proposed framework provides energy-efficient, real-time DPD performance, and enables efficient reconfiguration of DPD architectures so that communication can be dynamically optimized based on time-varying communication requirements. Our adaptive DPD design framework applies Markov Decision Processes (MDPs) in novel ways to generate optimized runtime control policies for DPD systems. We present a GPU-based adaptive DPD system that is derived using our design framework, and demonstrate its efficiency through extensive experiments.

AB - Digital predistortion (DPD) has important applications in wireless communication for smart systems, such as, for example, in Internet of Things (IoT) applications for smart cities. DPD is used in wireless communication transmitters to counteract distortions that arise from nonlinearities, such as those related to amplifier characteristics and local oscillator leakage. In this paper, we propose an algorithm-architecture-integrated framework for design and implementation of adaptive DPD systems. The proposed framework provides energy-efficient, real-time DPD performance, and enables efficient reconfiguration of DPD architectures so that communication can be dynamically optimized based on time-varying communication requirements. Our adaptive DPD design framework applies Markov Decision Processes (MDPs) in novel ways to generate optimized runtime control policies for DPD systems. We present a GPU-based adaptive DPD system that is derived using our design framework, and demonstrate its efficiency through extensive experiments.

KW - dataflow modeling

KW - digital predistortion

KW - Markov decision processes

KW - Smart systems

U2 - 10.1109/AICAS.2019.8771476

DO - 10.1109/AICAS.2019.8771476

M3 - Conference contribution

SP - 112

EP - 116

BT - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

PB - IEEE

ER -