Abstract: Techniques for identifying sources of degradations within a PON include detecting that an optical profile of a segment of the PON is outside of a designated operating range, and comparing the drift over time of the segment's optical profile with respective drifts over time of optical profiles of other PON segments, each of which shares an OLT or a last mile termination unit with the segment as a common endpoint. Each segment's optical profile corresponds to characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the segments' drift(s) over time are utilized to determine the source of a degradation within the PON, and may be utilized to identify a particular component of the segment (e.g., the OLT, the last mile termination unit, or an optical fiber included in the segment) as being the source of the degradation.

Abstract: Techniques for identifying sources of degradations within a PON include detecting a degradation pertaining to a segment of the PON and comparing the drift over time of an optical profile of the segment with respective drifts over time of optical profiles of one or more other PON segments, where pairs of segments share respective common endpoints and an optical profile of a segment corresponds to the characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the compared drift(s) over time are utilized to narrow down the candidate components (e.g., segment endpoints, optical fibers, etc.) for the source of the degradation, and may be utilized to particularly identify a particular endpoint or optical fiber as being the source. The source of the degradation may or may not be a component of the segment to which the degradation pertained.

Abstract: Techniques for maintaining equipment of a PON include determining a current optical profile for each segment of a plurality of segments of a PON, and detecting that the current optical profile of a particular segment is outside of a designated operating range. Based on the detection, drifts over time of the optical profile of the segment and of optical profiles of one or more other segments that share respective common endpoints with the segment are determined and compared, and based on the comparison, a component of the PON (e.g., an endpoint or an optical fiber) is identified as requiring maintenance. Each segment's optical profile corresponds to characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.), and current optical profiles of the PON's segments may be repeatedly updated over time to continuously monitor for components that need maintenance.

Abstract: Techniques for identifying sources of degradations within a PON include detecting a degradation pertaining to a segment of the PON and comparing the drift over time of an optical profile of the segment with respective drifts over time of optical profiles of one or more other PON segments, where pairs of segments share respective common endpoints and an optical profile of a segment corresponds to the characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the compared drift(s) over time are utilized to narrow down the candidate components (e.g., segment endpoints, optical fibers, etc.) for the source of the degradation, and may be utilized to particularly identify a particular endpoint or optical fiber as being the source. The source of the degradation may or may not be a component of the segment to which the degradation pertained.

Abstract: Techniques for identifying sources of degradations within a PON include detecting that an optical profile of a segment of the PON is outside of a designated operating range, and comparing the drift over time of the segment's optical profile with respective drifts over time of optical profiles of other PON segments, each of which shares an OLT or a last mile termination unit with the segment as a common endpoint. Each segment's optical profile corresponds to characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the segments' drift(s) over time are utilized to determine the source of a degradation within the PON, and may be utilized to identify a particular component of the segment (e.g., the OLT, the last mile termination unit, or an optical fiber included in the segment) as being the source of the degradation.

Abstract: Techniques for maintaining equipment of a PON include determining a current optical profile for each segment of a plurality of segments of a PON, and detecting that the current optical profile of a particular segment is outside of a designated operating range. Based on the detection, drifts over time of the optical profile of the segment and of optical profiles of one or more other segments that share respective common endpoints with the segment are determined and compared, and based on the comparison, a component of the PON (e.g., an endpoint or an optical fiber) is identified as requiring maintenance. Each segment's optical profile corresponds to characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.), and current optical profiles of the PON's segments may be repeatedly updated over time to continuously monitor for components that need maintenance.

Abstract: Techniques for identifying sources of degradations within a PON include detecting a degradation pertaining to a segment of the PON and comparing the drift over time of an optical profile of the segment with respective drifts over time of optical profiles of one or more other PON segments, where pairs of segments share respective common endpoints and an optical profile of a segment corresponds to the characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). The differences between the compared drift(s) over time are utilized to narrow down the candidate components (e.g., segment endpoints, optical fibers, etc.) for the source of the degradation, and may be utilized to particularly identify a particular endpoint or optical fiber as being the source. The source of the degradation may or may not be a component of the segment to which the degradation pertained.

Abstract: Techniques for predicting times-to-failure of components of a PON include generating an optical profile of a PON segment that has components including a last mile termination unit and an optical fiber received by the last mile termination unit, determining a drift over time of the segment's optical profile, and predicting the time-to-failure of a component of the segment based on the drift over time. The segment's optical profile corresponds to one or more characteristics of optical signals delivered over the segment (e.g., attenuation, changes in frequencies, changes in power outputs, etc.). Predicting the time-to-failure of the component may be based on, for example, a comparison of the drift over time of the segment's optical profile with drifts over time of other segments' optical profiles, a distance between the segment's optical profile and a boundary of a designated operating range of the PON, characteristics of the segment, etc.