Evolutionary Multiobjective Optimization for Adaptive Dataflow-based Digital Predistortion Architectures

Evolutionary Multiobjective Optimization for Adaptive Dataflow-based Digital Predistortion Architectures

In wireless communication systems, high-power transmitters suffer from nonlinearities due to power amplifier (PA) characteristics, I/Q imbalance, and local oscillator (LO) leakage. Digital Predistortion (DPD) is an effective technique to counteract these impairments. To help maximize agility in cogni...

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Bibliographic Details
Main Authors: Lin Li, Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Mikko Valkama, Shuvra S. Bhattacharyya
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2017-02-01
Series:EAI Endorsed Transactions on Cognitive Communications
Subjects:
Digital predistortion
multiobjective optimization
evolutionary algorithms
Online Access:http://eudl.eu/doi/10.4108/eai.23-2-2017.152187

Internet

http://eudl.eu/doi/10.4108/eai.23-2-2017.152187

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