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Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings

Research Article

Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems

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  • @INPROCEEDINGS{10.1007/978-3-030-98002-3_3,
        author={Zhaoyang Han and Meabh Loughman and Yiyue Jiang and Rahul Mushini and Miriam Leeser and John Dooley},
        title={Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems},
        proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings},
        proceedings_a={CROWNCOM \& WICON},
        year={2022},
        month={3},
        keywords={Behavioural modeling Pre-distortion Memory Polynomial Software Defined Radio FPGA},
        doi={10.1007/978-3-030-98002-3_3}
    }
    
  • Zhaoyang Han
    Meabh Loughman
    Yiyue Jiang
    Rahul Mushini
    Miriam Leeser
    John Dooley
    Year: 2022
    Computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless Systems
    CROWNCOM & WICON
    Springer
    DOI: 10.1007/978-3-030-98002-3_3
Zhaoyang Han1, Meabh Loughman, Yiyue Jiang1, Rahul Mushini, Miriam Leeser1,*, John Dooley
  • 1: Northeastern University
*Contact email: mel@coe.neu.edu

Abstract

Wireless systems such as cellular networks have begun to see proposals for increased operational flexibility through reuse of the same hardware but with different signal standards. This paper presents an approach to characterise a power amplifier (PA) for multiple signal standards. Following from this, behavioural modeling demonstrates that the same coefficients trained for a single signal standard can be effectively applied to multiple signal standards. This result is used to design and implement a digital predistorter (DPD) capable of linearizing for different signal standards on a Field Programmable Gate Array (FPGA). This implementation is experimentally validated on a state-of-the-art RFSoC FPGA from Xilinx to correct for PA non-linearities in the transmit chain using an efficient hardware design. Additionally the behavioural modelling and DPD solutions have been validated using distinctly different PAs to demonstrate the proposed look up table approach is hardware agnostic and works when the appropriate dimensions are set for the dynamic nonlinear structure in each case.

Keywords
Behavioural modeling Pre-distortion Memory Polynomial Software Defined Radio FPGA
Published
2022-03-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-98002-3_3
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