Toward efficient programming of reconfigurable radio frequency (RF) receivers

Reconfigurable radio frequency (RF) system is an emerging component to mitigate the growing engineering cost for wireless chip design. In this paper, we propose a new methodology for efficient programming of reconfigurable RF receiver. The proposed method is facilitated by two novel techniques: two-phase relaxation search and Pareto-based search space reduction. Our numerical experiments demonstrate that the proposed methodology is more robust (i.e., close to global optimum) and/or efficient (i.e., with low computational cost) than other traditional algorithms based on either local relaxation or simulated annealing.