الفهرس 
closed form analysis for indirect learning digital pre-distorter for wideband wireless communication systems
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Abstract
In the thesis, we analyze the ILA-DPD. We provide the analytical methodology for deriving the mathematical expressions for each DPD coefficient and then provide an open-access code that generates the DPD coefficients in symbolic form. We show that the proposed model is a valid mathematical representation of the DPD. Also, we provide a closed-form solution for the iterative adaptive ILA-DPD. Furthermore, we derive important measures in communication systems, e.g. NMSE and achievable rate. Also, we analytically study the effect of system impairments on the DPD coefficients. Therefore, we derive the performance measures that are stated above for the transmit chain. We present closed-form expressions for the NMSE and achievable rate bounds, for the transmit chain and typical communication system. Finally, for a typical communication system under a receiver power consumption budget constraint, we analyze how the SNDR can be maximized by setting the optimal ADC resolution and bandwidth