Aspects of the subject disclosure may include, for example, a guided wave repeater system operable to receive via a guided wave transceiver a first plurality of electromagnetic waves that includes a first communication signal. A second plurality of electromagnetic waves that includes a second communication signal is transmitted via the guided wave transceiver. The first plurality of electromagnetic waves and the second plurality of electromagnetic waves are guided by a power line of a utility pole. A third communication signal is received from a smart grid device. A fourth communication signal is transmitted to the smart grid device. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a guided wave repeater system operable to receive via a guided wave transceiver a first plurality of electromagnetic waves that includes a first communication signal. A second plurality of electromagnetic waves that includes a second communication signal is transmitted via the guided wave transceiver. The first plurality of electromagnetic waves and the second plurality of electromagnetic waves are guided by a power line of a utility pole. A third communication signal is received from a smart grid device. A fourth communication signal is transmitted to the smart grid device. Other embodiments are disclosed.

The present disclosure relates to techniques for predicting the Tx/Rx beam angle of the one or more dynamic beams, corresponding to the static broadcast beams, with optimized granularity. Particularly, the present disclosure receives, at a receiving entity, at least one of beam information and one or more control parameters. The beam information comprises Tx/Rx beam angles of one or more static broadcast beams. Subsequently, during the beam prediction, predicting using a pre-trained learning model, an optimized Tx/Rx beam angle for one or more dynamic beams corresponding to the one or more static broadcast beams, based on the received at least one of beam information, the one or more control parameters and an angle granularity information for effective communication. The angle granularity information defines variation in beam angle for predicting the optimized Tx/Rx beam angle.