BlackBerry Limited
Method and apparatus for dynamic tuning

Abstract:

A system that incorporates teachings of the subject disclosure may include, for example, adjusting a matching network utilizing a weighted tuning state resulting in a tuning where the weighted tuning state is determined from applying a weighting factor to multiple tuning states that are predetermined tuning states based on increasing performance associated with types of operation, comparing a measured performance metric to a weighted reference metric resulting in a comparison where the weighted reference metric is determined from applying the weighting factor to multiple reference metrics that are predetermined expected metrics based on the increasing performance associated with the types of operation, and responsive to a first determination that the measured performance metric satisfies a threshold according to the comparison, continuing the tuning utilizing the weighted tuning state. Other embodiments are disclosed.