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Model Predictive Control Equalization for High-Speed I/O Links

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3 Author(s)
Suleiman, A. ; Dept. of EECS, Massachusetts Inst. of Technol., Cambridge, MA, USA ; Sredojevic, R. ; Stojanovic, V.

In this work, we formulate a new, nonlinear, and time-variant transmitter equalization method based on the Model Predictive Control (MPC) algorithm. MPC is a class of control algorithms in which the current control action is obtained by solving, perhaps approximately, an online open-loop optimal control problem. One important advantage of the MPC in peak-power constrained link environment is its ability to cope with hard constraints on controls and states. Knowing the state of the channel enables a very fine nonlinear equalization. We utilize this flexibility to create various MPC formulations that control the entire eye-mask, receive signal dynamic range as well as the required quantization. Our MPC equalization significantly outperforms traditional transmitter techniques such as linear feed-forward and Tomlinson-Harashima equalizers, and gets very close to the optimized decision-feedback equalization at lower transmitter resolutions. We also describe the possible complexity reduction techniques that enable efficient implementation of our MPC algorithm in hardware.

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Circuits and Systems I: Regular Papers, IEEE Transactions on  (Volume:61 ,  Issue: 2 )