Citation

Choo, Hong Ning and Hashim, Shaiful Jahari and Abdul Latiff, Nurul Adilah and Rokhani, Fakhrul Zaman and Yusoff, Zubaida and Varahram, Pooria (2024) Reduction on Model Operations Complexity of Simplified Volterra in Digital Predistortion for Wireless Communications. IAENG International Journal of Computer Science. ISSN 1819-9224

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Abstract

The evolution of Digital Predistortion (DPD) for Power Amplifier (PA) linearization in wireless communications has seen a natural progression towards increasingly complex DPD models. This complexity directly correlates with improved accuracy in modeling PAs, thereby enhancing the linearization performance of DPD systems. As the demand for bandwidth and PA operation frequencies continues to rise, there is a growing trend towards achieving higher accuracy at the expense of increased complexity. This trend poses challenges for DPD design, necessitating the introduction of more complex algorithms to ensure effective PA linearization. This phenomenon is especially apparent in Volterra Series DPD algorithms, which are widely used for modelling nonlinear systems like PAs. This paper showcases the steps of reducing the modelling operations complexity of the Simplified Volterra (SV) method. The treated SV method presented in this paper is compared against the original SV method through simulation. The DPD model operations complexity is evaluated using the number of required multiplication operations. The DPD PA linearization performance is evaluated with respective model’s Normalized Mean Square Error (NMSE). A 57% reduction on the number of multiplication operations is observed in the treated SV against the original SV. Measured NMSE is similar for both models, indicating the treated SV model achieves this reduction in complexity without sacrificing linearization performance.

Item Type:	Article
Uncontrolled Keywords:	wireless communications
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	02 Aug 2024 01:10
Last Modified:	02 Aug 2024 01:10
URII:	http://shdl.mmu.edu.my/id/eprint/12746

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