Method and apparatus for dynamic tuning

A method comprising:

• adjusting, by a processor of a communication device, a matching network utilizing a weighted tuning state resulting in a tuning, wherein the weighted tuning state is determined from applying a first weighting factor to first, second and third tuning states that are predetermined tuning states based on increasing performance in transmit, receive and duplex operation, respectively;
• selecting, by the processor, first, second, and third reference metrics from first, second and third groups of reference metrics, wherein the first, second and third groups of reference metrics are predetermined expected metrics based on the increasing performance in the transmit, receive and duplex operation, respectively;
• determining, by the processor, a weighted reference metric based on a second weighting factor, and the first, second and third reference metrics;
• responsive to the tuning, determining, by the processor, a first performance metric according to a first measurement;
• comparing, by the processor, the first performance metric to the weighted reference metric resulting in a first comparison;
• and
• responsive to a first determination that the first performance metric satisfies a first threshold according to the first comparison, continuing the tuning utilizing the weighted tuning state.

A machine-readable storage medium, comprising executable instructions that, when executed by a processor of a communication device, facilitate performance of operations, comprising:

• adjusting a matching network utilizing a weighted tuning state resulting in a tuning, wherein 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, wherein 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.