This project focuses on the design of wireless communication infrastructure for dual-band applications. It tackles the impairments compensation in the context of dual-band systems and more specifically the case of harmonically related dual-band operation where the two bands in which the transmission is done are harmonically related. This creates, in addition to intermodulation and cross-modulation distortions commonly observed in dual-band systems, a specific and highly problematic types of distortions that are inseparable and indistinguishable from the original signals. Novel dual-band predistortion functions will be developed through this project. Two solutions will be investigated: analytically defined predistortion functions built by augmenting 2D memory polynomials, and neural networks based dual-band predistorters. Moreover, a multi-box structure will be investigated for the analytically defined predistorters with the aim to enhance the trade-off between performance and complexity. The aspect of complexity is crucial in dual-band systems and especially in the considered case of harmonically related dual-bands due to the drastic increase in nonlinear terms and basis functions that appear, by default, within analytically defined predistortion functions suitable for these systems. Therefore, this project will also investigate means of reducing the complexity in dual-band predistortion function through pruning techniques as well as adequate system level architectures. Finally, the sampling rate reduction issue will be tackled. The objective is to minimize the required sampling rate in dual-band predistortion systems by enabling unequal and bandwidth dependent sampling rate between the two bands. This projects is timely and relevant to the research community in both academia and industry. Significant shortcomings have been identified in solutions proposed so far, and opportunities for contributions have been pinpointed. This project is expected to lead to several scholarly outcomes and reinforce the collaboration of the PI with a leading international research group. Moreover, graduate and undergraduate students will be trained through the various tasks of this project.