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Conventional achievable rate analysis using Shan- non’s theory does not assume practical constraints imposed by Bode-Fano wideband matching theory. This leads to an achiev- able rate bound that cannot be attained by practical matching networks. In this paper, we generalize the information-theoretic achievable rate of a single-input-single-output (SISO) system by incorporating wideband matching constraints at the transmitter. We express the solution to the achievable rate optimization problem in terms of the optimized transmission coefficient and the Lagrangian parameters corresponding to the Bode-Fano inequality constraints. We also propose a practical strategy to design a physically realizable matching network through the ADS software which attains the achievable rate bound with near- optimality. In simulations, we apply this framework to a Chu’s antenna and compare the achievable rate performance with the conventional conjugate matching strategy.