S. S. Krishna Chaitanya Bulusu, S. Zampato, P. Susarla, N. Tervo, A. Pärssinen and O. Sílven, "Hardware-friendly Power Amplifier Linearization in Next-Generation Broadcasting Systems," 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Dubrovnik, Croatia, 2023, pp. 299-304, doi: 10.1109/MeditCom58224.2023.10266599.
Hardware-friendly power amplifier linearization in next-generation broadcasting systems
|Author:||Bulusu, S. S. Krishna Chaitanya1; Zampato, Silvia2; Susarla, Praneeth3;|
1Centre for Wireless Communications (CWC), University of Oulu, Oulu FI-90014, Finland
2Information Engineering Department (DEI), University of Padua, 35131 Padua, Italy
3Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu FI-90014, Finland
|Online Access:||PDF Full Text (PDF, 0.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231013139996
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-10-13
It is essential to mitigate power amplifier (PA) nonlinear (NL) effects to achieve energy-efficient radio communications. To restore the transmit signal quality, digital pre-distortion (DPD) is widely used. Recently, fast convergence DPD (FC-DPD) which offers good PA linearization has been proposed for next-generation broadcasting systems. However, it suffers from complexity issues and this paper addresses that drawback and we propose a low-complex version to make it hardware-friendly. We achieve significant complexity reduction by simplifying the Jacobian computation needed in the FC-DPD algorithm. This scheme can be extended to any memory-less PA model or a measured PA fitted to a polynomial model. We have provided proof that the proposed technique has linear complexity and the simulation results indicate that the proposed scheme achieves performance close to the FC-DPD algorithm. This method can be applied to other transmission systems as well.
|Pages:||299 - 304|
2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
IEEE International Mediterranean Conference on Communications and Networking
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland projects 6G Flagship (grant number 346208), Profi5 funding for Mathematics and AI: data insight for high-dimensional dynamics (HiDyn) (grant number 326291), Jenny-Antti Wihuri Foundation (grant number 220380), and Ing. Aldo Gini Foundation.
|Academy of Finland Grant Number:||
346208 (Academy of Finland Funding decision)
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